Individual skill
workflow-report
Create a workflow-intelligence report from CCAM orchestration, delegation, tool flow, concurrency, complexity, compaction, and fleet-run data. Use for architecture reviews, agent-fleet analysis, or workflow optimization reports.
plugins/ccam-reports/skills/workflow-report/SKILL.md
Source commit 14907bd6420bae80ddc01d0b7cd657980f0cf2d0
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,172
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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SKILL.mdcore · 896 bytesagents/openai.yamlasset · 258 bytes
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# Workflow Report
1. Confirm whether the report covers all sessions or one session.
2. Read `GET /api/workflows` and, when scoped, `GET /api/workflows/{sessionId}`.
3. Summarize orchestration depth, subagent types, delegation patterns, tool
transitions, concurrency, model delegation, error propagation, and
compaction.
4. Identify serialization bottlenecks, repeated patterns, and error-amplifying
branches only when supported by returned values.
5. Provide a short architecture narrative, a metrics table, and prioritized
optimization opportunities.
6. Do not claim causality from correlation alone.