ln-160-docs-skill-extractor
Extracts procedural content from project docs into slash commands. Use when docs contain deploy, test, or troubleshoot procedures.
What this skill does
> **Paths:** File paths (`references/`, `../ln-*`) are relative to this skill directory.
# ln-160-docs-skill-extractor
**Type:** L2 Coordinator
**Category:** 1XX Documentation Pipeline
**Workers:** ln-161-skill-creator, ln-162-skill-reviewer
Scans project documentation, identifies procedural content, and extracts it into executable slash command files under `.claude/commands/*.md`. Declarative documentation stays in markdown; this skill only routes procedural sections into command form.
---
## Overview
| Aspect | Details |
|--------|---------|
| **Input** | Project docs, test docs, and optional doc registry |
| **Output** | `.claude/commands/*.md` files in target project |
| **Workers** | ln-161 creates commands, ln-162 reviews them |
| **Source policy** | Docs-first extraction; `AGENTS.md` and `CLAUDE.md` are routing-only |
---
## Workflow
```
Phase 1: Discovery (route docs, build inventory)
|
Phase 2: Classification (procedural vs declarative scoring)
|
Phase 3: Extraction Plan (user approval)
|
Phase 4: Delegate -> ln-161 (create commands)
|
Phase 5: Delegate -> ln-162 (review commands)
|
Phase 6: Report (aggregate results)
```
---
## Phase 1: Discovery
**MANDATORY READ:** Load `references/procedural_extraction_rules.md`, `references/markdown_read_protocol.md`, and `references/docs_quality_contract.md`
Build a docs-first inventory before extracting anything.
### Routing Sources
Use these files only to route discovery and prioritize reading:
- `AGENTS.md`
- `CLAUDE.md`
- `docs/project/.context/doc_registry.json` if present
Do **not** extract commands from routing sources.
### Extraction Sources
Scan only these sources for procedural content:
- `docs/**/*.md`
- `tests/README.md`
- `tests/manual/**/*`
- `README.md`
- `CONTRIBUTING.md`
Also scan:
- `.claude/commands/*.md` to avoid duplicate command creation
### Discovery Rules
1. If `docs/project/.context/doc_registry.json` exists, prioritize:
- canonical docs first
- `DOC_KIND=how-to` before `reference`
- `reference` before `index` and `explanation`
2. Read markdown with the shared section-first protocol:
- use outline first for large or unfamiliar files
- read header markers and top sections first
- expand only sections that might contain procedures
3. Ignore standard doc shell sections as extraction candidates:
- `Quick Navigation`
- `Agent Entry`
- `Maintenance`
- header markers such as `SCOPE`, `DOC_KIND`, `DOC_ROLE`, `READ_WHEN`, `SKIP_WHEN`, `PRIMARY_SOURCES`
### Build `contextStore`
```yaml
contextStore:
project_root: {CWD}
routing_sources:
agents_md: true
claude_md: true
doc_registry: true
existing_commands: [list of .claude/commands/*.md filenames]
doc_inventory:
- file: docs/project/runbook.md
doc_kind: how-to
doc_role: canonical
sections:
- header: "Deployment"
line_range: [45, 92]
signals: { code_blocks: 3, numbered_steps: 5, imperative_verbs: 8 }
```
---
## Phase 2: Classification
Score each candidate section with the shared procedural extraction rules.
| Classification | Condition | Action |
|---------------|-----------|--------|
| PROCEDURAL | `proc >= 4` and `proc > decl * 2` | Extract to command |
| DECLARATIVE | `decl >= 4` and `decl > proc * 2` | Keep as documentation |
| MIXED | Both >= 3 | Extract procedural subsection only |
| THIN | Both < 3 | Skip |
Filter:
- drop sections already covered by an existing `.claude/commands/*.md`
- drop standard doc shell sections
- prefer `DOC_KIND=how-to` when multiple sections overlap semantically
---
## Phase 3: Extraction Plan (User Approval Gate)
Present the classified result set to the user before creating files.
```
Found {N} procedural sections in {M} files:
| # | Source | DOC_KIND | Section | Score | Proposed Command |
|---|--------|----------|---------|-------|------------------|
| 1 | runbook.md | how-to | Deployment | P:8/D:1 | deploy.md |
| 2 | tests/README.md | index | Running Tests | P:7/D:2 | run-tests.md |
Existing .claude/commands/ (will skip): refresh_context.md, build-and-test.md
Include? (e.g., "1,2" or "all" or "all skip 2")
```
If the user approves nothing, stop with `No skills to create.`
---
## Phase 4: Delegate to ln-161 (Skill Creation)
Pass only approved sections to `ln-161-skill-creator`.
```text
Agent(
description: "Create commands from procedural docs",
prompt: "Execute skill creator.\nStep 1: Invoke:\n Skill(skill: \"ln-161-skill-creator\")\nCONTEXT:\n{approved_sections}",
subagent_type: "general-purpose"
)
```
Normalized payload:
```json
{
"approved_sections": [
{
"source_file": "docs/project/runbook.md",
"section_header": "Deployment",
"line_range": [45, 92],
"command_name": "deploy.md",
"doc_kind": "how-to",
"doc_role": "canonical"
}
]
}
```
Collect:
- created file paths
- source-to-command mapping
- per-command summary
---
## Phase 5: Delegate to ln-162 (Skill Review)
Pass created command paths to `ln-162-skill-reviewer` in COMMAND mode.
```text
Agent(
description: "Review created commands",
prompt: "Execute skill reviewer in COMMAND mode.\nStep 1: Invoke:\n Skill(skill: \"ln-162-skill-reviewer\", args: \"commands\")\nFILES: {list of created paths}",
subagent_type: "general-purpose"
)
```
Collect:
- verdict per file
- aggregate pass/fix/warn counts
---
## Phase 6: Report
Aggregate the create and review results.
```text
## Docs Skill Extractor -- Complete
| Metric | Count |
|--------|-------|
| Documents scanned | {N} |
| Sections analyzed | {N} |
| Procedural found | {N} |
| Commands created | {N} |
| Commands skipped (existing) | {N} |
| Review PASS | {N} |
| Review FIXED | {N} |
| Review WARN | {N} |
Created commands:
- .claude/commands/deploy.md (from runbook.md#Deployment)
- .claude/commands/run-tests.md (from tests/README.md#Running Tests)
```
---
## Critical Rules
- **Docs-first extraction:** Extract only from docs sources. `AGENTS.md` and `CLAUDE.md` route discovery but never become command sources.
- **Section-first reading:** Use the shared markdown read protocol before full-file reads.
- **Detect before extract:** Only extract sections classified as procedural.
- **No duplicates:** Skip sections already covered by existing `.claude/commands/*.md`.
- **User approval required:** Never create commands without Phase 3 confirmation.
- **Delegate creation:** All command file writing goes through ln-161.
- **Delegate review:** All command validation goes through ln-162.
- **Preserve docs:** Source documentation stays intact.
---
**TodoWrite format (mandatory):**
```text
- Build docs inventory (in_progress)
- Invoke ln-161-skill-creator (pending)
- Invoke ln-162-skill-reviewer (pending)
- Aggregate report (pending)
```
## Worker Invocation (MANDATORY)
**Host Skill Invocation:** `Skill(skill: "...", args: "...")` is mandatory delegation.
- Claude: call the Skill tool exactly as shown.
- Codex: if no Skill tool exists, locate the named skill in available skills, read its `SKILL.md`, treat `args` as `$ARGUMENTS`, execute that skill workflow, then return here with its result/artifact.
- Do not inline worker logic or mark the worker complete without executing the target skill.
| Phase | Worker | Context |
|-------|--------|---------|
| 4 | ln-161-skill-creator | Approved procedural sections with source metadata |
| 5 | ln-162-skill-reviewer | Created command file paths in COMMAND mode |
**All workers:** Invoke via Skill tool. Workers consume only the context they need.
## Definition of Done
- [ ] Routing sources checked (`AGENTS.md`, `CLAUDE.md`, doc registry if present)
- [ ] Extraction inventory built from docs-first sources
- [ ] Every candidate section classified
- [ ] User approved extraction plan
- [ ] ln-161 created all approved commands
- [ ] ln-162 reviewed all created commands
- [ ] Final report aggregated with scan, create, and review metrics
---
## Meta-Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.