From pmm
Synthesizes focused briefings on topics from memory files for context-switching between workstreams or session resumes.
npx claudepluginhub nominexhq/pmm-pluginThis skill uses the workspace's default tool permissions.
Context-switching primitive. When you're jumping between workstreams or coming back to a topic, `pmm:recall` reads across memory files and synthesizes a focused briefing — not raw search results, but working context you can act on immediately.
User が「思い出して」「覚えてる」「今何してた」「前回」「続き」「resume」「recall」等の recall 意図を発話したときに invoke する Skill。intent を 5 分岐に分類し、適切な MCP tool (harness_mem_resume_pack / harness_mem_sessions_list / harness_mem_search / harness_cb_recall) もしくは SSOT (decisions.md / patterns.md) に routing して、source を明示した 1 行要約で回答する。
Queries memory files (decisions.md, preferences.md, lessons.md, etc.) via routing table with keyword, attribution/date/file filters, deep traversal, and context-first recall before agent dispatch.
Loads relevant Pensyve memories at session start for cross-session continuity. Use when switching projects or needing historical context.
Share bugs, ideas, or general feedback.
Context-switching primitive. When you're jumping between workstreams or coming back to a topic, pmm:recall reads across memory files and synthesizes a focused briefing — not raw search results, but working context you can act on immediately.
Topic: $ARGUMENTS
If $ARGUMENTS is empty, produce a quick resume card:
memory/last.md and memory/progress.md## Session Resume
**Last**: [1-sentence summary from last.md — what happened most recently]
**State**: [current state from progress.md — active work, blockers]
**Next**: [top 2-3 items from progress.md next section]
Keep it under 10 lines. Ready to work from, not to read.
If $ARGUMENTS contains a topic, synthesize a focused briefing across all relevant files.
Read memory/config.md. Extract:
Session Start → Mode and bootstrap_wiredActive Files — which files are currently activeIf Mode: lazy AND bootstrap_wired: true — memory files are already in context. Execute Steps 3–4 directly in the main context window without dispatching any agent. Tier 1 files are in-context. For Tier 2 files (graph.md, vectors.md, taxonomies.md, assets.md), use the Read tool to load the relevant file only if the topic likely involves relationships, entities, or classifications.
If Mode: eager OR bootstrap_wired: false — fall through to Agent Dispatch at the end of this document.
Search all active Tier 1 files for entries related to the topic (case-insensitive keyword match). For each file, collect relevant entries:
| File | What to look for |
|---|---|
timeline.md | Recent activity on this topic |
last.md | Whether this topic was part of the last session |
decisions.md | Key decisions made about this topic, with rationale |
lessons.md | Mistakes or lessons related to this topic |
progress.md | Current state, blockers, next steps for this area |
processes.md | Active workflows or procedures for this topic |
standinginstructions.md | Standing rules that apply to this topic |
memory.md | Durable facts and context |
preferences.md | User preferences relevant to this area |
voices.md | Tone or reasoning lenses relevant to this area |
summaries.md | Past session summaries mentioning this topic |
If Tier 2 files might be relevant (topic involves relationships → graph.md, entities → assets.md, classifications → taxonomies.md, semantic clusters → vectors.md), read those too via the Read tool.
Skip deactivated files per config.
Combine all collected entries into a focused, actionable briefing. This is synthesis, not concatenation — weave information from multiple files into a coherent picture.
Output format:
## Recall: [topic]
[2-3 sentence synthesis — what you need to know to start working on this topic right now]
**Recent**: [latest activity from timeline.md and/or last.md]
**Decisions**: [key decisions with rationale, from decisions.md]
**Lessons**: [relevant lessons, if any, from lessons.md]
**State**: [current progress on this area, from progress.md]
**Next**: [what was planned or pending]
Sources: decisions.md, timeline.md, progress.md [list only files that contributed]
Rules:
Sources: footerNo memory found for "[topic]". Try pmm:query [topic] for a deeper search with filters and traversal.Used only when Mode: eager OR bootstrap_wired: false.
Dispatch a general-purpose agent using the Readonly Agent Model from memory/config.md (default: haiku). Replace <project-root> with the actual project root path and <topic> with $ARGUMENTS.
Recall memory for a topic briefing. This is a READ-ONLY task — do not edit any files.
Project root:
<project-root>Topic:<topic>(empty = session resume)If topic is empty — Session Resume
Read
<project-root>/memory/last.mdand<project-root>/memory/progress.md.Return:
## Session Resume **Last**: [1-sentence from last.md] **State**: [current state from progress.md] **Next**: [top 2-3 items]If topic is provided — Focused Recall
- Read
<project-root>/memory/config.mdto get active files- Read all active Tier 1
.mdfiles in<project-root>/memory/- For Tier 2 files (graph.md, vectors.md, taxonomies.md, assets.md): read only if the topic likely involves relationships, entities, or classifications
- Search all read files for entries related to the topic (case-insensitive)
- Synthesize a focused briefing:
## Recall: [topic] [2-3 sentence synthesis] **Recent**: [from timeline.md, last.md] **Decisions**: [from decisions.md] **Lessons**: [from lessons.md, if any] **State**: [from progress.md] **Next**: [what was planned] Sources: [files that contributed]Keep output under 20 lines for topic recall, under 10 for resume. Omit sections with no relevant entries. If nothing found:
No memory found for "[topic]". Try pmm:query [topic] for a deeper search with filters and traversal.Return the formatted output as a string. Do not write to any file.
Output the agent's return value verbatim.
session_start: lazy and bootstrap_wired: true. This eliminates agent dispatch for in-window recall.Readonly Agent Model in memory/config.md (default: haiku). No reasoning required for read-only synthesis.references/README.md.