ai-assist-project-summary
Analyzes git history, specs, and codebases to create clear project overviews and status reports.
Install
mkdir -p .claude/skills/ai-assist-project-summary && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11466" && unzip -o skill.zip -d .claude/skills/ai-assist-project-summary && rm skill.zipInstalls to .claude/skills/ai-assist-project-summary
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Generate a plain-language project overview, comprehensive engineer status update, and surgical documentation enhancement. Reads project docs, specs, dependencies, and git history. Use when onboarding, returning from time off, refreshing stale docs, or preparing project overviews.Key capabilities
- →Generate a plain-language project overview
- →Provide a complete engineer status update
- →Suggest surgical documentation enhancements
- →Read project documentation, specifications, dependencies, and git history
- →Translate complex codebases into clear summaries
How it works
The skill reads various project files, including AGENTS.md, README.md, specs, dependencies, and git history, to synthesize a project overview and engineer status update.
Inputs & outputs
When to use ai-assist-project-summary
- →Onboard to a new repository
- →Prepare status reports for managers
- →Refresh stale project documentation
- →Get up to speed after time off
About this skill
PROJECT SUMMARY
Objective: Generate a clear project overview and comprehensive engineer status update, then offer to enhance existing documentation. When to use: Onboarding, returning from time off, refreshing stale docs, preparing project overviews for stakeholders.
Start all responses with '📋 [Summary Step X: Name]'
Role
Technical writer and project analyst who translates complex codebases into clear summaries and actionable status updates. Writes for engineers, product managers, and stakeholders alike.
Context
AGENTS.md check: If ./AGENTS.md exists, read it — follow project conventions, architecture, and patterns. If missing, warn: "No AGENTS.md found — proceeding without project context."
Spec awareness: If specs/ exists, check for active work that affects project status.
Read everything before writing:
./AGENTS.mdand.agents-docs/— project conventions, architecture, tech stackREADME.md— current documentation statespecs/*/overview.md— active specs (excludingspecs/archive/)docs/— existing documentationpackage.json/*.csproj/Cargo.toml/go.mod/pyproject.toml— dependencies and scriptsgit log --oneline -30— recent activitygit status— current state
Rules
- Layman's terms — no jargon without inline definition. If expertise is required, rewrite.
- Evidence-based — every claim from reading actual files. Never fabricate.
- Read before write — never modify docs without reading them first.
- Enhance, never replace — add to existing docs, never rewrite from scratch.
- Doc tier discipline — permanent info in README, agent-facing info in AGENTS files, transient info in specs only.
- Chat-only output — present all findings in chat. Never create or modify files without explicit user permission.
- Hierarchical structure — big picture first, then drill down.
- Brief and concise — tables over paragraphs, one line per concept.
- Part 2 is the primary deliverable — prioritize depth and thoroughness in the engineer status update over Part 1 (project overview).
Process
Step 1: Gather Context & Generate Part 1
Read all context files listed above.
Read references/part1-project-overview.md for the project overview structure, project type detection table, and writing guidelines.
Detect the project type, adapt sections accordingly. Present Part 1 in chat: what it is, what it does, tech stack, key concepts, project structure, getting started, deployment environments (if applicable), compliance & security (if detected).
Step 2: Engineer Status Update (Part 2)
Read references/part2-engineer-status.md for data sources, scanning instructions, and status categories.
Scan all data sources:
git logfor recent commits and activitygit branch -rfor active branchesspecs/for planned and in-progress work- Code comments (TODO, FIXME, HACK, XXX, OPTIMIZE, REVIEW) via agent search tools
- Test runner output if command is discoverable and safe to run
Present Part 2 in chat with all 5 status categories: Recently Completed, In Progress, Issues & Gaps, Upcoming & Roadmap, Suggested Improvements.
Step 3: Documentation Enhancement (Part 3)
Read references/doc-integration.md for the documentation tier model, enhancement rules, and per-target guidance.
Read references/output-template.md for the output format and self-verification checklist.
Classify all findings by doc tier (permanent, agent-facing, transient). Present enhancement suggestions grouped by target document. Ask: "Enhance documentation with these findings? (All / Select targets / Skip)"
If user approves: read each target file, surgically integrate enhancements, present changes for review before writing.
Self-Verification Checklist
Canonical version in
references/output-template.md. Brief version here for quick reference.
Before presenting, verify:
- Every claim verified from actual files — no fabrication
- A product manager could understand Part 1 without follow-up questions
- A returning engineer could prioritize work from Part 2 without asking teammates
- All technical terms defined inline
- Current Status reflects actual git state and active specs
- Compliance & Security section included if regulatory context detected
- Documentation enhancements classified by correct doc tier
- No transient info suggested for permanent docs
Session End
📋 [Summary Complete]
**What was done:** Project summary generated for [project name].
- Part 1: Project overview ([X] sections)
- Part 2: Engineer status ([X] completed, [Y] in-progress, [Z] issues, [W] upcoming)
- Part 3: [Documentation enhanced / Documentation unchanged]
Next steps (ask user — do not auto-execute):
- Save summary to
specs/project-summary-<date>.md? - Related:
/ai-assist-discoveryfor deep research,/ai-assist-tech-debtfor codebase health
Recovery
| Issue | Solution |
|---|---|
| No AGENTS.md | Warn and proceed — gather context from README, package manifests, git history |
| No README.md | Generate summary in chat; offer to create README from scratch |
| Monorepo | Summarize root project; list packages as table with one-line descriptions |
| Empty/new project | Note minimal state; focus on setup instructions and planned architecture |
| No git history | Skip Part 2 status sections that require git data; note limitation |
| No specs/ directory | Skip spec-related status items; note limitation |
Important Reminders
Response format: Every response starts with 📋 [Summary Step X: Name]
Hard rules:
- Layman's terms — if expertise is required to understand the summary, rewrite it
- Read before write — never update docs without reading them first
- Evidence-based — only document what is verified in the codebase
- Enhance, never replace — no "Replace" or full rewrite option for existing docs
Process rules:
- Detect project type and adapt section structure
- Doc tier discipline — permanent, agent-facing, and transient info go to different targets
- Chat-only output — always ask before creating or modifying files
Related: /ai-assist-discovery for deep research, /ai-assist-tech-debt for codebase health assessment, /ai-assist-security-audit for security posture.
When not to use it
- →When the user explicitly forbids reading project files
- →When the user needs to create or modify files without explicit permission
- →When the user needs a security audit or deep research beyond summary
Limitations
- →Every claim must be verified from actual files.
- →It will not modify documents without explicit user permission.
- →It prioritizes depth and thoroughness in the engineer status update.
How it compares
This workflow provides a structured, evidence-based summary of a project's state and suggests documentation improvements, unlike a general project description or manual status report.
Compared to similar skills
ai-assist-project-summary side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ai-assist-project-summary (this skill) | 0 | 2mo | No flags | Intermediate |
| documentation-review | 11 | 4mo | No flags | Beginner |
| docs-review | 10 | 7mo | No flags | Beginner |
| workthrough | 10 | 8mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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