skill-generation: Design & UI for AI Agents | OpenAgentSkill

Overview

LLM-powered generation pipeline for Claude Code skills and AGENTS.md — doc-init command, prompt system, context building, and output parsing

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You are working on aspens' skill generation pipeline — the system that scans repos and uses Claude/Codex CLI to generate skills, hooks, and instructions files.

Domain purpose

aspens doc init orchestrates a multi-step LLM pipeline that turns a scanned repo + import graph into a base skill, per-domain skills, and an instructions file (AGENTS.md or AGENTS.md). Generation is always done in Claude-canonical format and transformed for other targets afterwards. The end product is what other coding agents (and aspens' own hooks) consume to stay grounded in the repo.

Critical files (purpose, not inventory)

src/commands/doc-init.js — the pipeline orchestrator (backend → target → scan → graph → discovery → strategy → mode → generate → validate → transform → write → hooks → recommended extras → config)
src/lib/runner.js — runLLM(), loadPrompt(), parseFileOutput(), validateSkillFiles() shared across all LLM-driven commands
src/lib/skill-writer.js — writes parsed files, generates skill-rules.json, injects domain bash patterns, merges settings.json
src/lib/skill-reader.js — parses skill frontmatter, activation patterns, keywords (consumed by skill-writer)
src/lib/git-hook.js — installGitHook() / removeGitHook() for post-commit auto-sync (monorepo-aware)
src/lib/timeout.js — resolveTimeout() for auto-scaled + user-override timeouts
src/lib/target.js / src/lib/backend.js / src/lib/target-transform.js — target/backend resolution and Claude→other-target transform
src/prompts/ — doc-init.md, doc-init-domain.md, doc-init-claudemd.md, discover-domains.md, discover-architecture.md, plus partials/ (skill-format, preservation-contract, examples)

Key Concepts

Pipeline steps: (1) detect backends (2) backend selection (3) target selection (4) scan + graph (5) existing docs discovery check (6) parallel discovery agents (7) strategy (8) mode (9) generate (10) validate (11) transform for non-Claude targets (12) show files + dry-run (13) write (14) install hooks (Claude-only) (15) recommended extras (save-tokens, agents, git hook) (16) persist config to .aspens.json
Early config persistence: Target/backend config is written to .aspens.json before generation starts (after step 4), so a failed generation run still records the user's explicit target/backend choice. saveTokens from existing config is preserved. Final writeConfig at step 16 adds saveTokens from recommended install.
--recommended flag: Skips interactive prompts with smart defaults. Reuses existing target config from .aspens.json. Auto-selects backend from target. Defaults strategy to improve when existing docs found. Auto-picks discovery skip when docs exist. Auto-selects generation mode based on repo size. Also installs save-tokens, bundled Claude agents, dev/ gitignore entry, and doc-sync git hook (step 15).
Recommended extras (step 15): When --recommended and not --dry-run: calls installSaveTokensRecommended() from save-tokens.js (if Claude target), copies all bundled agent templates to .claude/agents/ (skips existing) via installRecommendedClaudeAgents(), adds dev/ to .gitignore, installs doc-sync git hook if not present. Summary lines printed after.
Backend before target: Backend selection (step 2) happens before target selection (step 3). If both CLIs available, user picks backend first, then targets. Pre-selects matching target in the multiselect. With --recommended, backend is inferred from existing target config.
Canonical generation: All prompts receive CANONICAL_VARS (hardcoded Claude paths: .claude/skills, skill.md, AGENTS.md, .claude). Generation always produces Claude-canonical format regardless of target. Non-Claude targets are produced by post-generation transform via transformForTarget().
Incremental writing (chunked mode): When mode === 'chunked' and not dry-run, generated files are written to disk as each chunk completes instead of waiting until the end. User is prompted to confirm incremental writes before generation starts. Helper functions: validates and strips truncated files per chunk; handles multi-target transform; deduplicates and writes changed files. Tracks written content via ( + Maps). When incremental mode is active, post-generation validation/transform/confirm/write steps are skipped (already done per-chunk).

Critical Rules

Base skill + instructions file are essential — pipeline retries up to 2× with format-correction prompts when <file> tags are missing. Domain skill failures are acceptable (user retries with --domains).
improve strategy preserves hand-written content — LLM must read existing skills first and not discard human-authored rules. The preservation-contract partial enforces this in every prompt.
Discovery runs before user prompt — domain picker shows discovered domains, not scanner directory names. Falls back to scanner domains if discovery fails.
PARALLEL_LIMIT = 3 — domain skills generate in batches of 3 concurrent calls. Base skill always sequential first. Instructions file always sequential last.
CliError, not process.exit() — all error exits throw CliError; cancellations return early.
--hooks-only is Claude-only — hardcoded to TARGETS.claude regardless of config.
Incremental write deduplication — writeIncrementalOutputs() skips files whose content hasn't changed since last write, using contentsByPath Map for tracking. Directory-scoped AGENTS.md files (path ends with /AGENTS.md but not the root AGENTS.md) go through writeTransformedFiles(), all others through writeSkillFiles().
Read-only LLM tools — generation calls always pass allowedTools: ['Read', 'Glob', 'Grep']. The LLM explores the repo itself; aspens never lets it write.
AGENTS.md post-processing — generated instructions files are run through ensureRootKeyFilesSection(), syncSkillsSection(), and syncBehaviorSection() so aspens owns the Skills list and Behavior block deterministically; prompts explicitly forbid the LLM from emitting these sections.

References

Prompts: src/prompts/doc-init*.md, src/prompts/discover-*.md
Partials: src/prompts/partials/skill-format.md, src/prompts/partials/preservation-contract.md, src/prompts/partials/examples.md

Last Updated: 2026-05-11

View source ↗

File metadata

name: skill-generation
description: LLM-powered generation pipeline for Claude Code skills and AGENTS.md — doc-init command, prompt system, context building, and output parsing
triggers:
  files:
    - src/commands/doc-init.js
    - src/lib/context-builder.js
    - src/prompts/**/*
  keywords:
    - doc-init
    - generate skills
    - discovery agents
    - chunked generation
    - recommended

View original text

---
name: skill-generation
description: LLM-powered generation pipeline for Claude Code skills and AGENTS.md — doc-init command, prompt system, context building, and output parsing
triggers:
  files:
    - src/commands/doc-init.js
    - src/lib/context-builder.js
    - src/prompts/**/*
  keywords:
    - doc-init
    - generate skills
    - discovery agents
    - chunked generation
    - recommended
---

You are working on **aspens' skill generation pipeline** — the system that scans repos and uses Claude/Codex CLI to generate skills, hooks, and instructions files.

## Domain purpose
`aspens doc init` orchestrates a multi-step LLM pipeline that turns a scanned repo + import graph into a base skill, per-domain skills, and an instructions file (`AGENTS.md` or `AGENTS.md`). Generation is always done in Claude-canonical format and transformed for other targets afterwards. The end product is what other coding agents (and aspens' own hooks) consume to stay grounded in the repo.

## Critical files (purpose, not inventory)
- `src/commands/doc-init.js` — the pipeline orchestrator (backend → target → scan → graph → discovery → strategy → mode → generate → validate → transform → write → hooks → recommended extras → config)
- `src/lib/runner.js` — `runLLM()`, `loadPrompt()`, `parseFileOutput()`, `validateSkillFiles()` shared across all LLM-driven commands
- `src/lib/skill-writer.js` — writes parsed files, generates `skill-rules.json`, injects domain bash patterns, merges `settings.json`
- `src/lib/skill-reader.js` — parses skill frontmatter, activation patterns, keywords (consumed by skill-writer)
- `src/lib/git-hook.js` — `installGitHook()` / `removeGitHook()` for post-commit auto-sync (monorepo-aware)
- `src/lib/timeout.js` — `resolveTimeout()` for auto-scaled + user-override timeouts
- `src/lib/target.js` / `src/lib/backend.js` / `src/lib/target-transform.js` — target/backend resolution and Claude→other-target transform
- `src/prompts/` — `doc-init.md`, `doc-init-domain.md`, `doc-init-claudemd.md`, `discover-domains.md`, `discover-architecture.md`, plus `partials/` (skill-format, preservation-contract, examples)

## Key Concepts
- **Pipeline steps:** (1) detect backends (2) **backend selection** (3) **target selection** (4) scan + graph (5) existing docs discovery check (6) parallel discovery agents (7) strategy (8) mode (9) generate (10) validate (11) transform for non-Claude targets (12) show files + dry-run (13) write (14) install hooks (Claude-only) (15) **recommended extras** (save-tokens, agents, git hook) (16) persist config to `.aspens.json`
- **Early config persistence:** Target/backend config is written to `.aspens.json` **before** generation starts (after step 4), so a failed generation run still records the user's explicit target/backend choice. `saveTokens` from existing config is preserved. Final `writeConfig` at step 16 adds `saveTokens` from recommended install.
- **`--recommended` flag:** Skips interactive prompts with smart defaults. Reuses existing target config from `.aspens.json`. Auto-selects backend from target. Defaults strategy to `improve` when existing docs found. Auto-picks discovery skip when docs exist. Auto-selects generation mode based on repo size. **Also installs save-tokens, bundled Claude agents, `dev/` gitignore entry, and doc-sync git hook** (step 15).
- **Recommended extras (step 15):** When `--recommended` and not `--dry-run`: calls `installSaveTokensRecommended()` from `save-tokens.js` (if Claude target), copies all bundled agent templates to `.claude/agents/` (skips existing) via `installRecommendedClaudeAgents()`, adds `dev/` to `.gitignore`, installs doc-sync git hook if not present. Summary lines printed after.
- **Backend before target:** Backend selection (step 2) happens before target selection (step 3). If both CLIs available, user picks backend first, then targets. Pre-selects matching target in the multiselect. With `--recommended`, backend is inferred from existing target config.
- **Canonical generation:** All prompts receive `CANONICAL_VARS` (hardcoded Claude paths: `.claude/skills`, `skill.md`, `AGENTS.md`, `.claude`). Generation always produces Claude-canonical format regardless of target. Non-Claude targets are produced by post-generation transform via `transformForTarget()`.
- **Incremental writing (chunked mode):** When `mode === 'chunked'` and not dry-run, generated files are written to disk as each chunk completes instead of waiting until the end. User is prompted to confirm incremental writes before generation starts. Helper functions: `validateGeneratedChunk()` validates and strips truncated files per chunk; `buildOutputFilesForTargets()` handles multi-target transform; `writeIncrementalOutputs()` deduplicates and writes changed files. Tracks written content via `incrementalWriteState` (`contentsByPath` + `resultsByPath` Maps). When incremental mode is active, post-generation validation/transform/confirm/write steps are skipped (already done per-chunk).
- **`parseLLMOutput` with strict single-file fallback:** Codex often returns plain markdown without `<file>` tags. `parseLLMOutput(text, allowedPaths, expectedPath)` only wraps tagless text as the expected file for **true single-file prompts** (exactly one `exactFile` in allowedPaths, no `dirPrefixes`). Multi-file prompts require proper `<file>` tags.
- **Existing docs reuse:** When existing Claude docs are found and strategy is `improve`, `loadExistingDocsContext()` inlines them as `## Existing Docs (improve these — preserve hand-written rules...)` into the prompt. `chooseReuseSourceTarget()` decides whether Claude or Codex docs are the source. Supports cross-target reuse (e.g. Claude docs → Codex output).
- **Domain reuse helpers:** `loadReusableDomains()` tries `loadReusableDomainsFromRules()` first (reads `skill-rules.json`), falls back to `findSkillFiles()` with `extractKeyFilePatterns()` parsing `## Key Files` blocks.
- **Config persistence with target merging:** Uses `mergeConfiguredTargets()` to avoid dropping previously configured targets. `writeConfig` now also persists `saveTokens` config from the recommended install.
- **Hook installation:** Only for targets with `supportsHooks: true` (Claude). `installHooks()` generates `skill-rules.json`, copies hook scripts, injects generated domain patterns into `post-tool-use-tracker.sh` via `# BEGIN/END detect_skill_domain` markers, merges `settings.json` (backs up existing to `.bak`).
- **Git hook offer:** With `--recommended`, git hook is auto-installed (no prompt). Without `--recommended`, interactive prompt offered. Detection looks for the marker string `aspens doc-sync hook (<rel>)` in `.git/hooks/post-commit`.
- **Discovery agents:** Two LLM calls run in parallel — `discover-domains` (hub files + domain clusters) and `discover-architecture` (hub files + ranked + hotspots). Findings are merged into `discoveryFindings` and parsed; domain-specific slices are injected into each domain prompt as `## Discovery Findings for {domain}`.

## Critical Rules
- **Base skill + instructions file are essential** — pipeline retries up to 2× with format-correction prompts when `<file>` tags are missing. Domain skill failures are acceptable (user retries with `--domains`).
- **`improve` strategy preserves hand-written content** — LLM must read existing skills first and not discard human-authored rules. The preservation-contract partial enforces this in every prompt.
- **Discovery runs before user prompt** — domain picker shows discovered domains, not scanner directory names. Falls back to scanner domains if discovery fails.
- **PARALLEL_LIMIT = 3** — domain skills generate in batches of 3 concurrent calls. Base skill always sequential first. Instructions file always sequential last.
- **CliError, not process.exit()** — all error exits throw `CliError`; cancellations `return` early.
- **`--hooks-only` is Claude-only** — hardcoded to `TARGETS.claude` regardless of config.
- **Incremental write deduplication** — `writeIncrementalOutputs()` skips files whose content hasn't changed since last write, using `contentsByPath` Map for tracking. Directory-scoped `AGENTS.md` files (path ends with `/AGENTS.md` but not the root `AGENTS.md`) go through `writeTransformedFiles()`, all others through `writeSkillFiles()`.
- **Read-only LLM tools** — generation calls always pass `allowedTools: ['Read', 'Glob', 'Grep']`. The LLM explores the repo itself; aspens never lets it write.
- **`AGENTS.md` post-processing** — generated instructions files are run through `ensureRootKeyFilesSection()`, `syncSkillsSection()`, and `syncBehaviorSection()` so aspens owns the Skills list and Behavior block deterministically; prompts explicitly forbid the LLM from emitting these sections.

## References
- **Prompts:** `src/prompts/doc-init*.md`, `src/prompts/discover-*.md`
- **Partials:** `src/prompts/partials/skill-format.md`, `src/prompts/partials/preservation-contract.md`, `src/prompts/partials/examples.md`

---
**Last Updated:** 2026-05-11

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 99 GitHub stars
Stars/forks activity: 99 stars, 6 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: aspenkit/aspens
License: MIT
Version: 1.0.0
Last GitHub push: Aug 15, 2026
Registry updated: Sep 7, 2026
Instruction path: .agents/skills/skill-generation/SKILL.md @ aea54585f728

Version reported in registry metadata; check source releases before relying on it.

Quality

64/100

Promising

Trust

63/100

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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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  "agent_contract": {
    "task_input": "Use skill-generation in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 71/100 Manual review",
      "Audit: 75/100 Needs review",
      "Safety: 35/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "aspenkit-skill-generation (skill-generation)",
      "install_command": "npx skills add aspenkit/aspens --skill skill-generation",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "aspenkit-skill-generation",
      "task": "Use skill-generation in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/aspenkit-skill-generation",
    "api": "https://www.openagentskill.com/api/agent/skills/aspenkit-skill-generation",
    "audit": "https://www.openagentskill.com/skills/aspenkit-skill-generation/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=aspenkit-skill-generation&task=Use%20skill-generation%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20skill-generation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20skill-generation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/aspenkit-skill-generation/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/aspenkit-skill-generation"
  }
}

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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator: aspenkit
Source: aspenkit/aspens
Indexed by: OpenAgentSkill community index

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aspenkit-skill-generation?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aspenkit-skill-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aspenkit-skill-generation?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aspenkit-skill-generation/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aspenkit-skill-generation?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aspenkit-skill-generation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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validateGeneratedChunk()

buildOutputFilesForTargets()

writeIncrementalOutputs()

incrementalWriteState

contentsByPath

resultsByPath