status
Skill4 starsChanged 33 days agoMITView on GitHub
Project status summary, progress snapshots, repo overview, and outstanding work tracking. Use when the user wants to know where a project stands. Triggers: status, progress, overview, what's done, dự án đang ở đâu, tiến độ, tổng quan.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 133 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
START: Read .ai-memory.md from project root.
- Very specific: line 11
END: Update .ai-memory.md using Memory Compaction Rules with: status snapshot, what's working, gaps, risks, and priorities.
- Distinctive: line 52
Do not recommend broad refactors without confirming scope.
- Distinctive: line 53
Always read and update the memory file.
- Very specific: line 56
After completing, read .kiro/skills/_scripts/verify-all.md for full project verification checklist.
- Very specific: line 64
All code snippets and example files referenced or produced by this skill must be UTF-8 encoded.
“Common” is measured: kept by at least 6 in 10 of the 133 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Memory Protocol
START: Read .ai-memory.md from project root. This is the PRIMARY source for status — check all recorded history, decisions, tasks, bugs, and milestones.
END: Update .ai-memory.md using Memory Compaction Rules with: status snapshot, what's working, gaps, risks, and priorities.
Goal
Summarize where things stand right now, leveraging the memory file for deep context.
Agent Routing
- For project health overview → read
.kiro/skills/agents/agents/project-planner.mdand apply its knowledge - For multi-workstream status → read
.kiro/skills/agents/agents/orchestrator.mdand apply its knowledge - For technical debt assessment → read the relevant specialist agent file based on domain
Workflow
- Read Memory — Load
.ai-memory.mdas the primary context source. - Inspect the repository, relevant files, and any recent context from the chat.
- Summarize what already exists.
- Identify gaps, risks, TODOs, and likely next priorities.
- Present a concise health/status view.
- Update Memory — Save current status snapshot to
.ai-memory.md.
Output format
- Current state (from memory + repo scan)
- What is working
- What is incomplete
- Risks or blockers
- Recent changes (from memory)
- Recommended next step
Checklist
- Memory file read for historical context
- Repository scanned for current state
- Working features identified
- Gaps and incomplete items listed
- Risks or blockers flagged
- Next priority recommended
- Memory file updated with status snapshot
- Clean code chuẩn (Standard clean code applied)
- Cập nhật đầy đủ tất cả các file liên quan (All related files fully updated)
Rules
- Be specific and evidence-based.
- Separate facts from inference.
- Do not recommend broad refactors without confirming scope; ASK if the fix would touch many areas.
- Always read and update the memory file.
Quality Gate
After completing, read .kiro/skills/_scripts/verify-all.md for full project verification checklist.
Related Skills
/plan→ read.kiro/skills/plan/SKILL.md— Create plan for incomplete items/debug→ read.kiro/skills/debug/SKILL.md— Investigate flagged risks/deploy→ read.kiro/skills/deploy/SKILL.md— Deploy when ready
Encoding
All code snippets and example files referenced or produced by this skill must be UTF-8 encoded. When applicable, include encoding: "UTF-8" in SKILL.md front-matter and ensure saved files use UTF-8 (no BOM).
Other versions164 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 164
- anthropics/claude-for-legal★ 9.5ksame name
- microsoft/TokenEconomizer★ 3.3ksame name
- zereight/gitlab-mcp★ 2.1ksame name
- indranilbanerjee/digital-marketing-pro★ 920same name
- H-mmer/pentest-agents★ 815same name
- me2resh/apexyard★ 532same name
- ffroliva/gflow-cli★ 350same name
- serithemage/serverless-openclaw★ 196same name
- atelier-fashion/adlc-toolkit★ 173same name
- backnotprop/bro★ 166same name
154 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository96 other files it gives its agents.
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- .cursor/rules/motion-ui.mdcCursor rule
- .cursor/rules/orchestrate.mdcCursor rule
- .cursor/rules/plan.mdcCursor rule
- .cursor/rules/preview.mdcCursor rule
- .cursor/rules/status.mdcCursor rule
- .cursor/rules/test.mdcCursor rule
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