Session wrap-up workflow. Use when user asks to "wrap up session", "end session", "/wrap", or wants to analyze completed work before ending.
Analyzes completed work and suggests documentation updates, automations, and follow-up tasks.
/plugin marketplace add zettalyst/claude-plugins/plugin install zettalyst-wrap-plugins-wrap@zettalyst/claude-pluginsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
references/multi-agent-patterns.mdComprehensive session wrap-up workflow with multi-agent analysis.
┌─────────────────────────────────────────────────────┐
│ 1. Check Git Status │
├─────────────────────────────────────────────────────┤
│ 2. Phase 1: 4 Analysis Agents (Parallel) │
│ ┌─────────────────┬─────────────────┐ │
│ │ doc-updater │ automation- │ │
│ │ (docs update) │ scout │ │
│ ├─────────────────┼─────────────────┤ │
│ │ learning- │ followup- │ │
│ │ extractor │ suggester │ │
│ └─────────────────┴─────────────────┘ │
├─────────────────────────────────────────────────────┤
│ 3. Phase 2: Validation Agent (Sequential) │
│ ┌───────────────────────────────────┐ │
│ │ duplicate-checker │ │
│ └───────────────────────────────────┘ │
├─────────────────────────────────────────────────────┤
│ 4. Integrate Results & AskUserQuestion │
├─────────────────────────────────────────────────────┤
│ 5. Execute Selected Actions │
└─────────────────────────────────────────────────────┘
git status --short
git diff --stat HEAD~3 2>/dev/null || git diff --stat
Execute 4 agents in parallel (single message with 4 Task calls).
Session Summary:
- Work: [Main tasks performed]
- Files: [Created/modified files]
- Decisions: [Key decisions made]
Task(subagent_type="doc-updater", ...)
Task(subagent_type="automation-scout", ...)
Task(subagent_type="learning-extractor", ...)
Task(subagent_type="followup-suggester", ...)
| Agent | Role | Output |
|---|---|---|
| doc-updater | CLAUDE.md/context.md updates | Specific content to add |
| automation-scout | Detect automation patterns | skill/command/agent suggestions |
| learning-extractor | Extract learning points | TIL format summary |
| followup-suggester | Suggest follow-up tasks | Prioritized task list |
Run after Phase 1 completes.
Task(
subagent_type="duplicate-checker",
prompt="""
Validate Phase 1 results.
## doc-updater proposals:
[doc-updater results]
## automation-scout proposals:
[automation-scout results]
"""
)
## Wrap Analysis Results
### Documentation Updates
[doc-updater summary]
- Duplicate check: [duplicate-checker feedback]
### Automation Suggestions
[automation-scout summary]
- Duplicate check: [duplicate-checker feedback]
### Learning Points
[learning-extractor summary]
### Follow-up Tasks
[followup-suggester summary]
AskUserQuestion(
questions=[{
"question": "Which actions would you like to perform?",
"header": "Wrap Options",
"multiSelect": true,
"options": [
{"label": "Create commit (Recommended)", "description": "Commit changes"},
{"label": "Update CLAUDE.md", "description": "Document new knowledge"},
{"label": "Create automation", "description": "Generate skill/command/agent"},
{"label": "Skip", "description": "End without action"}
]
}]
)
Execute only user-selected actions.
This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.