- 📄 SKILL.md
copilot-sdk
A skill that generates personalized greetings.
Free to get · One-click to use
A skill that generates personalized greetings.
This skill should be used when the user asks to change "worker lifecycle", "cancellation", "retrigger behavior", "state machine", "delivery receipts", "timeouts", or "race conditions". Enforces explicit async/state invariants and targeted race-safe verification.
JSONL log file management rules for cc-viewer. Use when working on cc-viewer's log file creation, rotation, resume, cleanup, or file watching logic. Covers interceptor.js and server.js log lifecycle. Also covers the detailed record schema including request body, response body, stream assembly, and cache-related fields.
Configure periodic health checks via HEARTBEAT.md and the /heartbeat command.
Quick workspace health check — verify project structure, config paths, and environment
Manage physical sensors, cameras, and actuators via the bubbaloop skill runtime. Query real-time sensor data, control node lifecycle, and monitor hardware health.
Generates Architecture Decision Records (ADRs) capturing context, decision rationale, alternatives considered, and projected consequences. Produces numbered, status-tracked documents following the standard ADR format with proper metadata lifecycle.
Start or health-check docketeer in dev mode
Use when user triggers [pm] alone to check current lifecycle state - runs progress sync for active issues or status check when idle
Use this skill when the user wants to "create branch", "rename branch", "smart branch name", "link branch to issue", or manage branch lifecycle. Provides intelligent branch naming with automatic issue linking following the pattern {issueNum}-{workType}/{kebab-name}.
Create new launchd daemons for macOS — covers plist generation, shell wrappers, secret resolution, logging, state persistence, and lifecycle management
Analyze ego-centric social networks to extract network size, composition, tie strength, and multiplexity using R egor package. Use for personal network data, social support analysis, or network health research.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
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