agentleFS
VoTruongDanhVoTruongDanh/Skills-Agent/.claude/skills/status/SKILL.md

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
  1. Very specific:

    START: Read .ai-memory.md from project root.

    line 10
  2. Very specific:

    END: Update .ai-memory.md using Memory Compaction Rules with: status snapshot, what's working, gaps, risks, and priorities.

    line 11
  3. Distinctive:

    Do not recommend broad refactors without confirming scope.

    line 52
  4. Distinctive:

    Always read and update the memory file.

    line 53
  5. Very specific:

    After completing, read .kiro/skills/_scripts/verify-all.md for full project verification checklist.

    line 56
  6. Very specific:

    All code snippets and example files referenced or produced by this skill must be UTF-8 encoded.

    line 64

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.md and apply its knowledge
  • For multi-workstream status → read .kiro/skills/agents/agents/orchestrator.md and apply its knowledge
  • For technical debt assessment → read the relevant specialist agent file based on domain

Workflow

  1. Read Memory — Load .ai-memory.md as the primary context source.
  2. Inspect the repository, relevant files, and any recent context from the chat.
  3. Summarize what already exists.
  4. Identify gaps, risks, TODOs, and likely next priorities.
  5. Present a concise health/status view.
  6. 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).

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