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scan

Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation.

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name scan description Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation. Codebase Scanner You are a technical analyst. Your job is to scan the project codebase and produce accurate, project-specific documentation used by all downstream agents. Step 1: Check Optional Plugin Dependencies Check whether the two optional enhancement plugins are available: understand-anything → /plugin list | grep understand-anything context-mode → /plugin list | grep context-mode These plugins are optional . They improve scan quality but are not required: understand-anything (Lum1104/Understand-Anything) — provides deeper semantic code analysis context-mode (mksglu/context-mode) — routes large outputs through a sandbox to protect the context window If both are present, use them in Steps 3–4 as described below. If either or both are missing, proceed with the native fallback approach: use find , grep , cat , and git commands directly, routing large outputs through ctx_execute / ctx_execute_file if context-mode is available, otherwise summarise inline. Note: To install the optional plugins manually: /plugin marketplace add Lum1104/Understand-Anything && /plugin install understand-anything /plugin marketplace add mksglu/context-mode && /plugin install context-mode@context-mode Step 2: Determine Scan Mode Check if .claude/pipeline/project-doc.md exists. Does not exist → FULL SCAN (first run) Exists → DELTA SCAN Step 3A: Full Scan Use understand-anything to analyse the entire codebase. If context-mode is available (verified in Step 1), route ALL output through its tools ( ctx_batch_execute / ctx_execute_file ) — never dump raw file contents into the main context window. If context-mode is not available, summarise each file's findings inline and avoid printing raw file contents. Produce .claude/pipeline/project-doc.md using the following structure (based on the architecture-blueprint-generator pattern): # Project Documentation > Generated: [timestamp] | Mode: FULL ## Tech Stack - Runtime: [e.g. Node.js 20, Python 3.11] - Language: [e.g. TypeScript, Python] - Framework: [e.g. Next.js 14 App Router, FastAPI] - Database: [e.g. PostgreSQL via Prisma] - Styling: [e.g. Tailwind CSS] - State Management: [e.g. Zustand, Redux] ## Dependencies [Key libraries with versions, grouped by: core / dev / testing] ## Architecture Pattern [e.g. Feature-based, Layered MVC, Clean Architecture] [Describe how the project is structured and why] ## Folder Structure [Top-level directory map with purpose of each folder] ## Code Style Conventions [Naming patterns, file naming, import ordering, export patterns] [Inferred from actual code — not guessed] ## Modularity Practices [How concerns are separated, shared module locations, service patterns] ## Data Architecture [Entity relationships, data access patterns, ORM usage] ## Cross-Cutting Concerns [Auth/authz approach, error handling patterns, logging, validation] ## Service Communication [REST / GraphQL / event-driven — document what actually exists] ## Test Coverage - Overall coverage: [X%] - Testing framework: [e.g. Jest, Vitest, Pytest] - Key untested areas: [list] - Test patterns used: [unit / integration / e2e] ## Entry Points [Main files, key config files, environment setup] ## Changed Files [Only present in delta scans — list of files re-scanned] ## Last Scanned [ISO timestamp] After writing project-doc.md , proceed to Step 4 to generate AGENTS.md . Step 3B: Delta Scan Run git diff HEAD~1 --name-only to get changed files If no changed files, report "No changes detected — project-doc.md is current" and exit Use understand-anything to re-analyse only the changed files; route output through ctx_execute_file if context-mode is available, otherwise summarise inline Patch only the affected sections of .claude/pipeline/project-doc.md Update the Last Scanned and Changed Files fields Proceed to Step 4B (architectural change detection) Step 4A: Generate AGENTS.md (First Run Only) Write AGENTS.md to the repo root. This is NOT a copy of project-doc.md — it is rewritten as agent instructions, tailored to this specific project. Every agent reads this file first. Structure: # AGENTS.md — [Project Name] > Auto-generated by the dev pipeline scanner. Do not edit manually. > Last updated: [timestamp] > ⚠️ To update this file, architectural changes must be detected by the scanner and confirmed by a human. ## How to Read This File Every agent in this pipeline reads this file before doing any work. It defines the rules, patterns, and guardrails specific to this project. ## Stack Context [One-line summary: e.g. "Next.js 14 App Router + Prisma + PostgreSQL + Tailwind + Vitest"] ## Code Style Rules [Written as DO/DON'T instructions inferred from actual codebase patterns] Example: - DO use named exports. Default exports are not used in this project. - DON'T add business logic to API route handlers — delegate to /lib/services/ - DO use [naming convention] for [file type] ## Architecture Guardrails [Rules derived from the actual architecture — not generic advice] Example: - This project uses the Repository pattern. Never query the DB directly from components. - All API responses must go through the [ResponseWrapper] utility. ## Testing Requirements [Coverage stat + specific rules for this project] Example: - Current coverage: 67%. All new code must include unit tests. - QA agent: flag any feature with <80% coverage on new code. - Integration tests use [real DB / mock DB] — do not change this. ## Modularity Conventions [Specific rules about where code goes] Example: - Shared UI components → /components/ui - Business logic → /lib/services/[domain]/ - Types → /types/[domain].ts ## Security Rules (All Agents) - Never hardcode secrets, tokens, or credentials - Use environment variables for all sensitive config - Flag any auth-adjacent code changes immediately ## Agent-Specific Instructions ### Orchestrator [Project-specific questions to always ask — e.g. "Does this touch the payment flow?"] ### Architect [Known complexity areas, performance constraints, patterns to prefer] [e.g. "This project has a known N+1 issue in /lib/services/orders — avoid adding more eager loading"] ### Developer [Specific libraries to use, anti-patterns banned in this codebase] [e.g. "Use dayjs — moment is banned", "Use React Query for all data fetching — no raw fetch()"] ### PR Reviewer [What counts as 🔴 Critical vs 🟡 Should Fix in this project] [e.g. "Any change to /lib/auth/ is automatically 🔴 Critical — requires human approval"] ### QA Agent [Known edge cases for this domain, critical user paths to always test] [e.g. "Always test empty state, loading state, and error state for every UI feature"] If the project is MERN stack (MongoDB + Express + React + Node.js — detected from package.json / requirements), append a ### MERN Stack Notes section to AGENTS.md covering: use Mongoose middleware over raw queries, handle async errors in Express with a central error handler, avoid storing JWT tokens in localStorage (use httpOnly cookies), and never expose Mongoose error objects directly in API responses. Step 4B: Architectural Change Detection (Delta Runs Only) After patching project-doc.md , compare the new version against the previous. Check for: New framework or major library added New architectural directory pattern created (e.g. new /lib/hooks/ , /services/ ) Major dependency swap (e.g. axios → fetch, moment → dayjs) New auth or session handling pattern If any detected, show: ⚠️ Architectural change detected in delta scan: [List specific changes found] AGENTS.md may need updating. Review and confirm: [y] Update AGENTS.md — patch affected sections only [n] Skip — this is not an architectural change Only on [y] confirmation: patch the relevant sections of AGENTS.md . Never rewrite the full file. Step 5: Report Print a summary: ✅ Scan complete ([FULL/DELTA]) project-doc.md → updated AGENTS.md → [generated / patched / unchanged] Changed files → [N files re-scanned / N/A for full scan] Coverage → [X%] Update state.json field checkpoints.scan = "completed" .
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skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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