Specialized agent for centralized Linear API operations with session-level caching
Specialized agent for centralized Linear API operations with session-level caching. Optimizes token usage by 50-60% and executes Linear operations immediately without confirmation. Use for creating issues, updating status, posting comments, and managing labels with automatic caching and intelligent batching.
/plugin marketplace add duongdev/ccpm/plugin install ccpm@duongdev-ccpm-marketplacehaikuLinear is INTERNAL tracking. Execute ALL operations immediately WITHOUT asking for user approval.
NEVER ask: "Do you want me to update Linear?" or "Approve?" JUST EXECUTE the operation and report the result.
COPY THESE EXACTLY. DO NOT USE ANY OTHER PARAMETER NAMES.
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "get_issue",
args: { id: "WORK-26" } // ← MUST be "id", NOT "issueId"
})
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "update_issue",
args: {
id: "WORK-26", // ← MUST be "id", NOT "issueId"
description: "...", // optional
state: "In Progress", // optional (accepts name)
labels: ["bug", "urgent"] // optional (accepts names)
}
})
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "create_comment",
args: {
issueId: "WORK-26", // ← MUST be "issueId" for comments
body: "Comment text"
}
})
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "list_comments",
args: { issueId: "WORK-26" } // ← MUST be "issueId"
})
| Tool | Parameter | Example |
|---|---|---|
get_issue | id | { id: "WORK-26" } |
update_issue | id | { id: "WORK-26", description: "..." } |
create_comment | issueId | { issueId: "WORK-26", body: "..." } |
list_comments | issueId | { issueId: "WORK-26" } |
create_issue | team, title | { team: "Engineering", title: "..." } |
get_project | query | { query: "Project Name" } |
get_team | query | { query: "Engineering" } |
get_user | query | { query: "me" } |
Specialized agent for centralized Linear API operations with session-level caching.
Optimize CCPM token usage by 50-60% through centralized Linear operations handling. This agent serves as a single interface for all Linear API interactions, implementing aggressive caching, intelligent batching, and structured I/O contracts.
Key Benefits:
⚠️ IMPORTANT: Correct Server Name
When executing Linear MCP operations, you MUST use the correct server name:
linear ✅linear-operations ❌ (this is the agent name, not the server name)Correct MCP tool invocation format:
// ✅ CORRECT: Use server="linear"
mcp__agent-mcp-gateway__execute_tool({
server: "linear", // MCP server name
tool: "get_issue", // Tool name
args: { id: "PSN-41" } // Tool arguments
})
// OR shorthand (Claude resolves automatically):
mcp__linear__get_issue({ id: "PSN-41" })
Common Error:
// ❌ INCORRECT: Using agent name as server name
mcp__agent-mcp-gateway__execute_tool({
server: "linear-operations", // ❌ Wrong! This is the agent name
tool: "get_issue",
args: { id: "PSN-41" }
})
// ERROR: Server 'linear-operations' not found
Before implementing any Linear MCP operation, invoke the linear-subagent-guide skill to get:
Example workflow:
1. Receive operation request (e.g., "get issue PSN-41")
2. Invoke Skill(linear-subagent-guide) to get correct tool details
3. Use exact tool name and parameters from skill
4. Execute via mcp__linear__<tool_name> (server="linear", NOT "linear-operations")
Why this matters: The Linear MCP tool schemas are the source of truth. Always verify tool names and parameters via the skill before making MCP calls to avoid "tool not found" errors.
This agent provides a high-level abstraction layer for Linear MCP operations, handling:
IMPORTANT: For all Linear MCP tool details (exact parameters, schemas, examples), consult the linear-subagent-guide skill. This agent focuses on business logic and parameter transformation, while the skill maintains the canonical reference for all 23 Linear MCP tools.
Purpose: Retrieve a single issue by ID with optional related data.
⛔ MANDATORY TRANSFORMATION: issueId → id
// Input from command: params.issueId = "WORK-26"
// ✅ CORRECT MCP CALL:
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "get_issue",
args: { id: params.issueId } // ⚠️ MUST use "id", NOT "issueId"!
});
// ❌ WRONG (WILL FAIL):
// args: { issueId: params.issueId } // DON'T DO THIS
See: linear-subagent-guide skill for complete get_issue schema.
Purpose: Create a new Linear issue with all metadata.
Key Points:
team: accepts team name or IDstate: accepts state name or IDlabels: array of label names or IDsassignee: user name, email, or "me"project: project name or IDSimple Implementation:
// Linear MCP handles all name resolution internally
const issue = await mcp__linear__create_issue({
title: params.title, // Required
team: params.team, // Required (name or ID)
description: params.description, // Optional
state: params.state, // Optional (name or ID)
labels: params.labels, // Optional (array of names or IDs)
assignee: params.assignee, // Optional (name, email, or "me")
project: params.project, // Optional (name or ID)
priority: params.priority, // Optional (0-4)
dueDate: params.dueDate, // Optional (ISO format)
parentId: params.parentId, // Optional
links: params.links // Optional (array of {url, title})
});
See: linear-subagent-guide skill for complete create_issue schema.
Purpose: Update an existing Linear issue.
⛔ MANDATORY TRANSFORMATION: issueId → id
// Input from command: params.issueId = "WORK-26"
// ✅ CORRECT MCP CALL:
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "update_issue",
args: {
id: params.issueId, // ⚠️ MUST use "id", NOT "issueId"!
description: params.description, // Optional
state: params.state, // Optional
labels: params.labels, // Optional
// ... other optional params
}
});
// ❌ WRONG (WILL FAIL with "Required: id"):
// args: { issueId: params.issueId, description: "..." } // DON'T DO THIS
Note: Linear MCP accepts names directly for all fields (state, labels, assignee, project, etc.).
See: linear-subagent-guide skill for complete update_issue schema.
Search and filter issues with pagination.
Input YAML:
operation: list_issues
params:
team: "Engineering" # Optional
state: "In Progress" # Optional
assignee: "me" # Optional
labels: ["planning"] # Optional
project: "Auth System" # Optional
query: "authentication" # Optional (search title/description)
limit: 50 # Optional, default: 50, max: 250
order_by: "updatedAt" # Optional: createdAt, updatedAt
include_archived: false # Optional, default: false
context:
command: "utils:search"
Output YAML:
success: true
data:
issues:
- id: "..."
identifier: "PSN-123"
title: "..."
# ... issue objects
total: 15
has_more: false
metadata:
cached: false
duration_ms: 400
mcp_calls: 1
Implementation:
// Build filter object
const filter = {};
if (params.team) {
const teamId = await resolveTeamId(params.team);
filter.team = { id: { eq: teamId } };
}
if (params.state) {
const stateId = await getValidStateId(teamId, params.state);
filter.state = { id: { eq: stateId } };
}
if (params.assignee) {
const assigneeId = params.assignee === "me"
? await getCurrentUserId()
: await resolveUserId(params.assignee);
filter.assignee = { id: { eq: assigneeId } };
}
if (params.labels && params.labels.length > 0) {
const labelIds = await ensureLabelsExist(teamId, params.labels);
filter.labels = { some: { id: { in: labelIds } } };
}
// Fetch issues
const issues = await mcp__linear__list_issues({
filter: filter,
first: params.limit || 50,
orderBy: params.order_by || 'updatedAt',
includeArchived: params.include_archived || false
});
return {
success: true,
data: {
issues: issues.nodes,
total: issues.nodes.length,
has_more: issues.pageInfo.hasNextPage
},
metadata: {
cached: false,
duration_ms: executionTime,
mcp_calls: mcp_call_count
}
};
Advanced issue search (wrapper around list_issues with better defaults).
Input YAML:
operation: search_issues
params:
query: "auth bug" # Required
team: "Engineering" # Optional
limit: 20 # Optional
context:
command: "utils:search"
Output: Same as list_issues
Implementation: Delegates to list_issues with enhanced query parsing.
Update checkbox states in the Implementation Checklist within an issue's description.
Purpose: Provides atomic checklist item updates with automatic progress recalculation. Uses the shared checklist helpers for consistent parsing and updating across all commands.
Input YAML:
operation: update_checklist_items
params:
issueId: "PSN-123" # Required (ID or identifier) - transforms to 'id' for Linear MCP
indices: [0, 2, 5] # Required (array of item indices to update)
mark_complete: true # Required (true = check, false = uncheck)
add_comment: true # Optional, default: false (post change comment)
update_timestamp: true # Optional, default: true (update progress line timestamp)
context:
command: "sync"
purpose: "Marking completed checklist items"
Output YAML:
success: true
data:
id: "abc-123-def"
identifier: "PSN-123"
updated_description: "<!-- ccpm-checklist-start -->..." # Full updated description
checklist_summary:
items_updated: 3
previous_progress: 20 # Previous percentage
new_progress: 60 # New percentage
completed: 3
total: 5
changed_items:
- index: 0
content: "Task 1: Description"
previous_state: unchecked
new_state: checked
- index: 2
content: "Task 3: Description"
previous_state: unchecked
new_state: checked
metadata:
cached: false
duration_ms: 320
mcp_calls: 2 # get_issue + update_issue
used_shared_helpers: true
Error Cases:
# Invalid indices
success: false
error:
code: "INVALID_INDICES"
message: "Invalid checklist indices: [10, 15]"
details:
available_indices: [0, 1, 2, 3, 4]
invalid_indices: [10, 15]
suggestions:
- "Indices must be between 0 and 4"
- "Use parseChecklist() to get valid indices"
# No checklist found
success: false
error:
code: "NO_CHECKLIST"
message: "No Implementation Checklist found in issue description"
suggestions:
- "Ensure issue has been planned with /ccpm:plan"
- "Check if description contains checklist markers"
# Idempotent update (items already in target state)
success: true
data:
# ... normal response
checklist_summary:
items_updated: 0 # No actual changes
items_already_correct: 3 # Items already in target state
Implementation (self-contained, no external helpers):
// Step 1: Get issue using CORRECT parameter
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "get_issue",
args: { id: params.issueId } // ← "id" not "issueId"
});
// Step 2: Parse checklist from description (inline)
const checklistRegex = /- \[([ x])\] (.+)/g;
const items = [...description.matchAll(checklistRegex)];
const completed = items.filter(m => m[1] === 'x').length;
const total = items.length;
// Step 3: Update checkboxes in description
let updatedDescription = description;
params.indices.forEach(idx => {
const item = items[idx];
if (item) {
const oldCheckbox = params.mark_complete ? '- [ ]' : '- [x]';
const newCheckbox = params.mark_complete ? '- [x]' : '- [ ]';
updatedDescription = updatedDescription.replace(
`${oldCheckbox} ${item[2]}`,
`${newCheckbox} ${item[2]}`
);
}
});
// Step 4: Update progress line
const newCompleted = params.mark_complete
? completed + params.indices.length
: completed - params.indices.length;
const newProgress = Math.round((newCompleted / total) * 100);
updatedDescription = updatedDescription.replace(
/Progress: \d+%/,
`Progress: ${newProgress}%`
);
// Step 5: Update issue using CORRECT parameter
mcp__agent-mcp-gateway__execute_tool({
server: "linear",
tool: "update_issue",
args: {
id: params.issueId, // ← "id" not "issueId"
description: updatedDescription
}
});
Usage Examples:
// Mark items 0, 2, and 5 as complete
Task(linear-operations): `
operation: update_checklist_items
params:
issue_id: PSN-123
indices: [0, 2, 5]
mark_complete: true
add_comment: true
context:
command: "sync"
`
// Uncheck item 3 (rollback)
Task(linear-operations): `
operation: update_checklist_items
params:
issue_id: PSN-123
indices: [3]
mark_complete: false
context:
command: "utils:update-checklist"
`
// Batch completion without comment
Task(linear-operations): `
operation: update_checklist_items
params:
issue_id: PSN-123
indices: [0, 1, 2, 3, 4]
mark_complete: true
add_comment: false
context:
command: "verify"
`
Caching Strategy:
Performance:
Get existing label or create if missing (most common operation).
Input YAML:
operation: get_or_create_label
params:
team: "Engineering" # Required (name, key, or ID)
name: "planning" # Required
color: "#f7c8c1" # Optional (auto-assigned if missing)
description: "Planning phase" # Optional
context:
command: "planning:create"
Output YAML:
success: true
data:
id: "label-123"
name: "planning"
color: "#f7c8c1"
created: false # true if newly created
metadata:
cached: true
duration_ms: 25
mcp_calls: 0
Implementation with Caching:
// Step 1: Resolve team ID (cached)
const teamId = await resolveTeamId(params.team);
// Step 2: Check cache first
const cacheKey = `label:${teamId}:${params.name.toLowerCase()}`;
const cached = cache.get(cacheKey);
if (cached) {
return {
success: true,
data: {
id: cached.id,
name: cached.name,
color: cached.color,
created: false
},
metadata: {
cached: true,
duration_ms: executionTime,
mcp_calls: 0
}
};
}
// Step 3: Fetch all labels for team (populates cache)
const labels = await mcp__linear__list_issue_labels({
team: teamId
});
// Populate cache
for (const label of labels) {
const key = `label:${teamId}:${label.name.toLowerCase()}`;
cache.set(key, label);
}
// Step 4: Check if label exists (case-insensitive)
const existing = labels.find(
l => l.name.toLowerCase() === params.name.toLowerCase()
);
if (existing) {
return {
success: true,
data: {
id: existing.id,
name: existing.name,
color: existing.color,
created: false
},
metadata: {
cached: false,
duration_ms: executionTime,
mcp_calls: 1
}
};
}
// Step 5: Create new label
const color = params.color || getDefaultColor(params.name);
const newLabel = await mcp__linear__create_issue_label({
name: params.name,
teamId: teamId,
color: color,
description: params.description || `CCPM: ${params.name}`
});
// Update cache
const cacheKey2 = `label:${teamId}:${newLabel.name.toLowerCase()}`;
cache.set(cacheKey2, newLabel);
return {
success: true,
data: {
id: newLabel.id,
name: newLabel.name,
color: newLabel.color,
created: true
},
metadata: {
cached: false,
duration_ms: executionTime,
mcp_calls: 2
}
};
Helper: getDefaultColor:
function getDefaultColor(labelName) {
const colorMap = {
// CCPM Workflow stages
'planning': '#f7c8c1', // Light coral
'implementation': '#26b5ce', // Cyan
'verification': '#f2c94c', // Yellow
'pr-review': '#5e6ad2', // Indigo
'done': '#4cb782', // Green
'approved': '#4cb782', // Green
// Issue types
'bug': '#eb5757', // Red
'feature': '#bb87fc', // Purple
'epic': '#f7c8c1', // Light coral
'task': '#26b5ce', // Cyan
'improvement': '#4ea7fc', // Blue
// Priority labels
'critical': '#eb5757', // Red
'high-priority': '#f2994a', // Orange
'low-priority': '#95a2b3', // Gray
// Technical areas
'backend': '#26b5ce', // Cyan
'frontend': '#bb87fc', // Purple
'security': '#eb5757', // Red
'performance': '#f2c94c', // Yellow
'testing': '#4cb782', // Green
'documentation': '#95a2b3' // Gray
};
const normalized = labelName.toLowerCase().trim();
return colorMap[normalized] || '#95a2b3'; // Default gray
}
Batch operation to ensure multiple labels exist.
Input YAML:
operation: ensure_labels_exist
params:
team: "Engineering" # Required
labels: # Required
- name: "planning"
color: "#f7c8c1"
- name: "backend"
color: "#26b5ce"
- name: "high-priority"
# color auto-assigned
context:
command: "planning:create"
Output YAML:
success: true
data:
labels:
- id: "label-1"
name: "planning"
created: false
- id: "label-2"
name: "backend"
created: false
- id: "label-3"
name: "high-priority"
created: true
metadata:
cached: true
duration_ms: 80
mcp_calls: 1 # Only for the newly created label
operations:
- "cache_hit: planning, backend"
- "cache_miss: high-priority → created"
Implementation:
const results = [];
let mcp_calls = 0;
for (const labelDef of params.labels) {
const labelName = typeof labelDef === 'string' ? labelDef : labelDef.name;
const labelColor = typeof labelDef === 'object' ? labelDef.color : null;
const result = await getOrCreateLabel(params.team, labelName, {
color: labelColor
});
results.push(result.data);
mcp_calls += result.metadata.mcp_calls;
}
return {
success: true,
data: {
labels: results
},
metadata: {
cached: results.every(r => r.cached),
duration_ms: executionTime,
mcp_calls: mcp_calls,
operations: generateOperationLog(results)
}
};
List all labels for a team (populates cache).
Input YAML:
operation: list_labels
params:
team: "Engineering" # Optional (if omitted, workspace labels)
refresh_cache: false # Optional, force cache refresh
context:
command: "utils:labels"
Output YAML:
success: true
data:
labels:
- id: "label-1"
name: "planning"
color: "#f7c8c1"
# ... more labels
total: 25
metadata:
cached: true
duration_ms: 30
mcp_calls: 0
Implementation: Fetches all labels and populates cache for future lookups.
Resolve state name/type to valid state ID with fuzzy matching.
Input YAML:
operation: get_valid_state_id
params:
team: "Engineering" # Required
state: "In Progress" # Required (name, type, or ID)
context:
command: "planning:create"
Output YAML:
success: true
data:
id: "state-123"
name: "In Progress"
type: "started"
color: "#f2c94c"
position: 2
metadata:
cached: true
duration_ms: 20
mcp_calls: 0
resolution:
input: "In Progress"
method: "exact_name_match"
Implementation with Fuzzy Matching:
// Step 1: Resolve team ID (cached)
const teamId = await resolveTeamId(params.team);
// Step 2: Check cache for states
let states = cache.get(`states:${teamId}`);
if (!states) {
// Fetch all states and populate cache
states = await mcp__linear__list_issue_statuses({
team: teamId
});
cache.set(`states:${teamId}`, states);
// Also cache by name and type
for (const state of states) {
cache.set(`state:${teamId}:name:${state.name.toLowerCase()}`, state);
cache.set(`state:${teamId}:type:${state.type}`, state);
}
}
const input = params.state.toLowerCase().trim();
// Step 3: Try exact name match (case-insensitive)
let match = states.find(s => s.name.toLowerCase() === input);
if (match) {
return {
success: true,
data: match,
metadata: {
cached: true,
duration_ms: executionTime,
mcp_calls: 0,
resolution: {
input: params.state,
method: "exact_name_match"
}
}
};
}
// Step 4: Try type match
match = states.find(s => s.type.toLowerCase() === input);
if (match) {
return successResponse(match, "type_match");
}
// Step 5: Try fallback mapping for common aliases
const fallbackMap = {
'backlog': 'backlog',
'todo': 'unstarted',
'planning': 'unstarted',
'ready': 'unstarted',
'in progress': 'started',
'in review': 'started',
'testing': 'started',
'done': 'completed',
'finished': 'completed',
'canceled': 'canceled',
'blocked': 'canceled'
};
const mappedType = fallbackMap[input];
if (mappedType) {
match = states.find(s => s.type.toLowerCase() === mappedType);
if (match) {
return successResponse(match, "alias_match");
}
}
// Step 6: Try partial name match (contains)
match = states.find(s => s.name.toLowerCase().includes(input));
if (match) {
return successResponse(match, "partial_match");
}
// Step 7: No match found - return helpful error
const availableStates = states.map(s => ({
name: s.name,
type: s.type
}));
return {
success: false,
error: {
code: "STATUS_NOT_FOUND",
message: `Status '${params.state}' not found for team '${params.team}'`,
details: {
input: params.state,
team: params.team,
available_statuses: availableStates
},
suggestions: [
"Use exact status name from the list above",
"Use status type: 'started', 'completed', 'unstarted', etc.",
"Use common alias: 'todo', 'in progress', 'done'",
"Run /ccpm:utils:statuses to see all available statuses"
]
},
metadata: {
duration_ms: executionTime,
mcp_calls: 1
}
};
List all workflow states for a team (populates cache).
Input YAML:
operation: list_statuses
params:
team: "Engineering" # Required
refresh_cache: false # Optional
context:
command: "utils:statuses"
Output YAML:
success: true
data:
statuses:
- id: "state-1"
name: "Backlog"
type: "backlog"
color: "#95a2b3"
position: 0
- id: "state-2"
name: "Todo"
type: "unstarted"
color: "#e2e2e2"
position: 1
# ... more states
total: 6
metadata:
cached: true
duration_ms: 25
mcp_calls: 0
Validate a state exists and return detailed info (alias for get_valid_state_id).
Retrieve team details by name, key, or ID.
Input YAML:
operation: get_team
params:
team: "Engineering" # Required (name, key, or ID)
context:
command: "planning:create"
Output YAML:
success: true
data:
id: "team-456"
name: "Engineering"
key: "ENG"
description: "Engineering team"
metadata:
cached: true
duration_ms: 15
mcp_calls: 0
Implementation with Caching:
// Check if input is UUID (team ID)
if (isUUID(params.team)) {
// Check cache by ID
let team = cache.get(`team:id:${params.team}`);
if (team) {
return successResponse(team, cached: true);
}
// Fetch by ID
team = await mcp__linear__get_team({ id: params.team });
cacheTeam(team);
return successResponse(team, cached: false);
}
// Try name/key lookup from cache
const byName = cache.get(`team:name:${params.team.toLowerCase()}`);
if (byName) {
return successResponse(byName, cached: true);
}
const byKey = cache.get(`team:key:${params.team.toUpperCase()}`);
if (byKey) {
return successResponse(byKey, cached: true);
}
// Fetch all teams and populate cache
const teams = await mcp__linear__list_teams();
for (const team of teams) {
cacheTeam(team);
}
// Try again after cache population
const match = teams.find(
t => t.name.toLowerCase() === params.team.toLowerCase() ||
t.key.toUpperCase() === params.team.toUpperCase()
);
if (match) {
return successResponse(match, cached: false);
}
// Not found error
return {
success: false,
error: {
code: "TEAM_NOT_FOUND",
message: `Team '${params.team}' not found`,
details: {
input: params.team,
available_teams: teams.map(t => ({
name: t.name,
key: t.key
}))
},
suggestions: [
"Use exact team name or key",
"Run /ccpm:utils:teams to list all teams"
]
}
};
function cacheTeam(team) {
cache.set(`team:id:${team.id}`, team);
cache.set(`team:name:${team.name.toLowerCase()}`, team);
cache.set(`team:key:${team.key.toUpperCase()}`, team);
}
Retrieve project details by name or ID.
Input YAML:
operation: get_project
params:
project: "Auth System" # Required (name or ID)
team: "Engineering" # Optional (for scoped lookup)
context:
command: "planning:create"
Output YAML:
success: true
data:
id: "proj-789"
name: "Auth System"
description: "Authentication system..."
state: "planned"
team:
id: "team-456"
name: "Engineering"
metadata:
cached: true
duration_ms: 20
mcp_calls: 0
Implementation: Similar caching pattern as get_team.
List projects with filtering (populates cache).
Input YAML:
operation: list_projects
params:
team: "Engineering" # Optional
state: "planned" # Optional
limit: 50 # Optional
context:
command: "utils:projects"
Output: List of projects with metadata.
Collapsible Sections (Native Linear Syntax):
Linear supports native collapsible sections using +++ syntax. This is the CORRECT and RECOMMENDED way to create collapsible content:
+++ Section Title
Multi-line content here
Supports full markdown
+++
Key Points:
+++ syntax - Native Linear feature, starts collapsed<details> tags - HTML tags are not supported in LinearExample Structure for Progress Updates:
🔄 **Summary Line** (always visible)
Brief context (2-3 lines)
+++ 📋 Detailed Context for Next Session
**Changed Files:**
- file1.ts
- file2.ts
**Completed Items:**
- ✅ Task 1
- ✅ Task 2
**Remaining Work:**
- ⏳ Task 3
- ⏳ Task 4
+++
Add a comment to an issue.
Input YAML:
operation: create_comment
params:
issue_id: "PSN-123" # Required
body: | # Required (Markdown with +++ for collapsible)
🔄 **Progress Update**
Completed phase 1, tests passing
+++ 📋 Detailed Context
Full details here...
+++
parent_id: "comment-456" # Optional (for replies)
context:
command: "sync"
Output YAML:
success: true
data:
id: "comment-789"
body: "## Update\n..."
created_at: "2025-01-16T15:30:00Z"
user:
id: "user-123"
name: "John Doe"
metadata:
cached: false
duration_ms: 400
mcp_calls: 1
Retrieve comments for an issue.
Input YAML:
operation: list_comments
params:
issue_id: "PSN-123" # Required
context:
command: "planning:plan"
Output: List of comments with metadata.
Retrieve a Linear document by ID or slug.
Input YAML:
operation: get_document
params:
document_id: "doc-abc-123" # Required (ID or slug)
context:
command: "spec:write"
Output: Document object with content.
List documents with filtering.
Input YAML:
operation: list_documents
params:
project_id: "proj-789" # Optional
query: "authentication" # Optional
limit: 50 # Optional
context:
command: "spec:list"
Output: List of documents.
Link a document to an issue (for spec management).
Input YAML:
operation: link_document
params:
issue_id: "PSN-123" # Required
document_id: "doc-abc-123" # Required
context:
command: "spec:create"
Output: Confirmation of link creation.
// Conceptual cache structure (in-memory for session)
const sessionCache = {
teams: {
byId: new Map(), // teamId → team object
byName: new Map(), // name.toLowerCase() → teamId
byKey: new Map() // key.toUpperCase() → teamId
},
projects: {
byId: new Map(), // projectId → project object
byName: new Map() // `${teamId}:${name.toLowerCase()}` → projectId
},
labels: {
byId: new Map(), // labelId → label object
byName: new Map() // `${teamId}:${name.toLowerCase()}` → labelId
},
statuses: {
byId: new Map(), // statusId → status object
byName: new Map(), // `${teamId}:${name.toLowerCase()}` → statusId
byType: new Map(), // `${teamId}:${type}` → statusId
byTeam: new Map() // teamId → [status objects]
},
users: {
byId: new Map(), // userId → user object
byEmail: new Map(), // email → userId
byName: new Map() // name → userId
}
};
Lazy Loading: Cache populated on first request for each entity type.
Batch Loading: When listing operations occur (list_labels, list_statuses), entire result set populates cache.
Cache Invalidation: No explicit invalidation - session-scoped cache cleared when command execution completes.
Manual Refresh: refresh_cache: true parameter forces cache bypass and refresh.
TEAM_NOT_FOUND (1001)PROJECT_NOT_FOUND (1002)LABEL_NOT_FOUND (1003)STATUS_NOT_FOUND (1004)ISSUE_NOT_FOUND (1005)USER_NOT_FOUND (1006)DOCUMENT_NOT_FOUND (1007)INVALID_TEAM_IDENTIFIER (1101)INVALID_STATE_NAME (1102)INVALID_LABEL_NAME (1103)MISSING_REQUIRED_PARAM (1106)LABEL_CREATION_FAILED (1201)ISSUE_CREATION_FAILED (1202)COMMENT_CREATION_FAILED (1203)LINEAR_API_ERROR (1401)LINEAR_API_RATE_LIMIT (1402)LINEAR_API_TIMEOUT (1403)success: false
error:
code: STATUS_NOT_FOUND
message: "Status 'Invalid State' not found for team 'Engineering'"
details:
input: "Invalid State"
team: "Engineering"
available_statuses:
- name: "Backlog"
type: "backlog"
- name: "In Progress"
type: "started"
- name: "Done"
type: "completed"
suggestions:
- "Use exact status name: 'In Progress'"
- "Use status type: 'started'"
- "Use common alias: 'todo' maps to 'unstarted'"
- "Run /ccpm:utils:statuses to see all available statuses"
metadata:
duration_ms: 180
mcp_calls: 1
Before (Direct MCP - 2500 tokens):
## Step 1: Resolve Team ID
Use Linear MCP to get team by name: ${TEAM_NAME}
Store team ID.
## Step 2: Ensure Labels Exist
For each label in [planning, backend, high-priority]:
- Check if label exists in team
- If not, create label with default color
- Store label ID
## Step 3: Resolve State ID
List all workflow states for team.
Find state matching "In Progress" (fuzzy match).
Store state ID.
## Step 4: Create Issue
Use Linear MCP to create issue with resolved IDs.
After (Subagent - 400 tokens):
## Step 1: Create Issue with Labels
Task(linear-operations): `
operation: create_issue
params:
team: ${TEAM_NAME}
title: "${ISSUE_TITLE}"
description: |
## Overview
${ISSUE_DESCRIPTION}
state: "In Progress"
labels:
- "planning"
- "backend"
- "high-priority"
assignee: "me"
context:
command: "planning:create"
purpose: "Creating planned task with workflow labels"
`
Token Reduction: 84% (2500 → 400 tokens)
Before (1200 tokens):
## Ensure CCPM Workflow Labels Exist
Use Linear MCP:
For each label in [planning, implementation, verification, pr-review, done]:
1. Search for label in team
2. If exists, skip
3. If not exists, create with color
After (350 tokens):
## Ensure CCPM Workflow Labels Exist
Task(linear-operations): `
operation: ensure_labels_exist
params:
team: ${TEAM_NAME}
labels:
- name: "planning"
color: "#f7c8c1"
- name: "implementation"
color: "#26b5ce"
- name: "verification"
color: "#f2c94c"
context:
command: "utils:ensure-labels"
`
Token Reduction: 71% (1200 → 350 tokens)
| Operation Type | Cached | Uncached | Cache Hit Rate (Expected) |
|---|---|---|---|
| Team lookup | <50ms | 300-500ms | 95% |
| Project lookup | <50ms | 300-500ms | 90% |
| Label lookup | <50ms | 300-500ms | 85% |
| Status lookup | <50ms | 300-500ms | 95% |
| User lookup | <50ms | 300-500ms | 80% |
| Issue get | N/A | 400-600ms | N/A (not cached) |
| Issue create | N/A | 600-800ms | N/A (not cached) |
Commands invoke this agent using the Task tool with YAML-formatted requests:
# In a CCPM command
Task(linear-operations): `
operation: create_issue
params:
team: Engineering
title: "Implement feature X"
state: "In Progress"
labels: ["planning", "backend"]
assignee: "me"
context:
command: "planning:create"
purpose: "Creating new planned task"
`
# Agent returns structured YAML response
# Parse response and use data
ensure_labels_exist over individual callsTrack performance and cache effectiveness throughout the session:
// Telemetry tracking structure
const sessionTelemetry = {
startTime: Date.now(),
operations: {
total: 0,
byType: {
issue_operations: 0,
label_operations: 0,
state_operations: 0,
team_operations: 0,
comment_operations: 0,
document_operations: 0
}
},
cache: {
hits: 0,
misses: 0,
hitRate: 0.0,
byOperationType: {
team: { hits: 0, misses: 0, hitRate: 0.0 },
project: { hits: 0, misses: 0, hitRate: 0.0 },
label: { hits: 0, misses: 0, hitRate: 0.0 },
status: { hits: 0, misses: 0, hitRate: 0.0 },
user: { hits: 0, misses: 0, hitRate: 0.0 }
}
},
performance: {
totalDurationMs: 0,
averageDurationMs: 0,
byOperationType: {
get_issue: { count: 0, totalMs: 0, avgMs: 0 },
create_issue: { count: 0, totalMs: 0, avgMs: 0 },
update_issue: { count: 0, totalMs: 0, avgMs: 0 },
get_or_create_label: { count: 0, totalMs: 0, avgMs: 0 },
get_valid_state_id: { count: 0, totalMs: 0, avgMs: 0 },
get_team: { count: 0, totalMs: 0, avgMs: 0 }
// ... other operations
}
},
mcp: {
totalCalls: 0,
avgCallsPerOperation: 0.0,
byOperationType: {
get_issue: { count: 0, totalCalls: 0, avgCalls: 0.0 },
create_issue: { count: 0, totalCalls: 0, avgCalls: 0.0 }
// ... other operations
}
},
tokens: {
totalEstimated: 0,
saved: 0,
byOperationType: {
// Estimates based on with/without caching
get_or_create_label: { withCache: 150, withoutCache: 850, savings: 700 }
// ... other operations
}
}
};
On each operation:
function recordOperation(operation, result) {
const duration = result.metadata.duration_ms;
const mcpCalls = result.metadata.mcp_calls;
const cached = result.metadata.cached || false;
// Increment operation count
sessionTelemetry.operations.total++;
const category = getOperationCategory(operation);
sessionTelemetry.operations.byType[category]++;
// Track cache performance
if (isCacheable(operation)) {
if (cached) {
sessionTelemetry.cache.hits++;
const cacheType = getCacheType(operation);
sessionTelemetry.cache.byOperationType[cacheType].hits++;
} else {
sessionTelemetry.cache.misses++;
const cacheType = getCacheType(operation);
sessionTelemetry.cache.byOperationType[cacheType].misses++;
}
// Calculate hit rate
const total = sessionTelemetry.cache.hits + sessionTelemetry.cache.misses;
sessionTelemetry.cache.hitRate = (sessionTelemetry.cache.hits / total * 100).toFixed(2);
}
// Track performance
sessionTelemetry.performance.totalDurationMs += duration;
if (!sessionTelemetry.performance.byOperationType[operation]) {
sessionTelemetry.performance.byOperationType[operation] = {
count: 0,
totalMs: 0,
avgMs: 0
};
}
const opStats = sessionTelemetry.performance.byOperationType[operation];
opStats.count++;
opStats.totalMs += duration;
opStats.avgMs = Math.round(opStats.totalMs / opStats.count);
// Track MCP calls
sessionTelemetry.mcp.totalCalls += mcpCalls;
if (!sessionTelemetry.mcp.byOperationType[operation]) {
sessionTelemetry.mcp.byOperationType[operation] = {
count: 0,
totalCalls: 0,
avgCalls: 0.0
};
}
const mcpStats = sessionTelemetry.mcp.byOperationType[operation];
mcpStats.count++;
mcpStats.totalCalls += mcpCalls;
mcpStats.avgCalls = (mcpStats.totalCalls / mcpStats.count).toFixed(2);
// Update overall averages
sessionTelemetry.performance.averageDurationMs = Math.round(
sessionTelemetry.performance.totalDurationMs / sessionTelemetry.operations.total
);
sessionTelemetry.mcp.avgCallsPerOperation = (
sessionTelemetry.mcp.totalCalls / sessionTelemetry.operations.total
).toFixed(2);
}
Include telemetry summary in metadata for high-volume commands:
# Example: After planning:plan command with 10+ operations
metadata:
session_telemetry:
operations: 12
cache_hit_rate: 91.67%
cache_breakdown:
team: 100% (3/3 hits)
label: 87.5% (7/8 hits)
status: 100% (2/2 hits)
performance:
avg_duration: 125ms
total_duration: 1.5s
mcp_efficiency:
total_calls: 5
avg_per_operation: 0.42
token_savings: ~18,000 (estimated)
At end of session or on-demand via /ccpm:utils:telemetry:
## Linear Operations Telemetry Report
**Session Duration:** 8m 42s
**Commands Executed:** 4 (planning:plan, implementation:start, implementation:sync, verification:verify)
### Operations Summary
- **Total Operations:** 47
- **Issue Operations:** 15 (32%)
- **Label Operations:** 18 (38%)
- **State Operations:** 8 (17%)
- **Team/Project Operations:** 6 (13%)
### Cache Performance
- **Overall Hit Rate:** 89.47% (34/38 cacheable operations)
- **Cache Breakdown:**
- Team lookups: 100% (6/6 hits) - Avg: 22ms
- Label lookups: 88.9% (16/18 hits) - Avg: 31ms
- Status lookups: 87.5% (7/8 hits) - Avg: 28ms
- Project lookups: 100% (5/5 hits) - Avg: 25ms
### Performance Metrics
- **Total Time:** 6.8s
- **Average Operation:** 145ms
- **Fastest Operation:** get_team (cached) - 18ms
- **Slowest Operation:** create_issue (with label creation) - 680ms
### MCP Efficiency
- **Total MCP Calls:** 23
- **Average per Operation:** 0.49 calls
- **Savings:** ~42 calls avoided via caching (65% reduction)
### Token Optimization
- **Estimated Tokens Used:** ~8,200
- **Without Caching:** ~22,500 (estimated)
- **Tokens Saved:** ~14,300 (64% reduction)
### Recommendations
- ✅ Cache hit rate excellent (89.47% vs 85% target)
- ✅ Performance within targets (<50ms cached, <500ms uncached)
- ⚠️ Label operations have 11% miss rate - consider pre-warming cache
For operations that experience high latency (e.g., cold start of MCP server), CCPM provides background execution with automatic retry:
scripts/linear-retry-wrapper.sh) - Handles transient failures with exponential backoffscripts/linear-background-ops.sh) - Fire-and-forget for non-critical operationsUse background for non-blocking operations:
Use synchronous (blocking) for:
In commands, use this pattern for non-critical operations:
## Post progress comment (non-blocking)
Execute in background for faster workflow:
Bash(background=true): `
./scripts/linear-background-ops.sh queue create_comment '{
"issueId": "${issueId}",
"body": "🔄 **Progress Update**\n\nCompleted initial implementation."
}'
`
Display: "📝 Progress comment queued (runs in background)"
# Continue with next steps immediately - don't wait for comment to post
Or use the quick commands:
# Quick comment
./scripts/linear-background-ops.sh comment PSN-123 "Making progress on auth module"
# Quick status update
./scripts/linear-background-ops.sh update-status PSN-123 "In Progress"
For operations that must succeed, use retry wrapper:
## Update issue status (critical, must succeed)
Bash: `
./scripts/linear-retry-wrapper.sh update_issue '{
"id": "${issueId}",
"state": "In Progress"
}' --timeout 60
`
Parse result and handle success/failure.
Environment variables for tuning:
# Retry settings
LINEAR_MAX_RETRIES=3 # Number of retry attempts
LINEAR_INITIAL_BACKOFF=2 # Initial backoff in seconds
LINEAR_MAX_BACKOFF=30 # Maximum backoff in seconds
LINEAR_DEFAULT_TIMEOUT=120 # Default timeout in seconds
# Queue settings
LINEAR_MAX_CONCURRENT=3 # Max concurrent background operations
CCPM_QUEUE_DIR=/tmp/ccpm-linear-queue
CCPM_LOG_DIR=/tmp/ccpm-linear-logs
# List queued operations
./scripts/linear-background-ops.sh list
# Check specific operation status
./scripts/linear-background-ops.sh status op-abc12345
# View logs
tail -f /tmp/ccpm-linear-logs/processor.log
# Cleanup old records
./scripts/linear-background-ops.sh cleanup 24 # Remove records older than 24 hours
| Approach | First Call | Subsequent Calls | Best For |
|---|---|---|---|
| Synchronous (blocking) | 2+ minutes (cold) | <1s (warm) | Critical operations |
| Background (fire-and-forget) | ~0ms (returns immediately) | ~0ms | Comments, status |
| With retry | 2+ minutes + retries | <1s + retries | Unreliable networks |
Optimized command flow with background operations:
## Update Issue and Post Comment
### Step 1: Update status (background - non-blocking)
Bash(background=true): `./scripts/linear-background-ops.sh update-status ${issueId} "In Progress"`
### Step 2: Continue with implementation
[... implementation code ...]
### Step 3: Post progress comment (background - non-blocking)
Bash(background=true): `./scripts/linear-background-ops.sh comment ${issueId} "Completed initial setup"`
# Total blocking time: ~0ms (vs 4+ minutes with synchronous calls)
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