Skip to main content

init-deep

Initializes a hierarchical AGENTS.md knowledge base for a project. Use when a repo needs its structure, commands, and conventions documented for agents.

Quellinformationen

Repository
code-yeongyu/lazycodex
Letzte Quellaktivität
13. September 2026 um 02:52
Erkannte Sprache von SKILL.md
Englisch
Sterne
3.697
Forks
232

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
2 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
init-deep
description
Initializes a hierarchical AGENTS.md knowledge base for a project. Use when a repo needs its structure, commands, and conventions documented for agents.
## Codex Harness Tool Compatibility This skill may include examples copied from the OpenCode harness. In Codex, do not call OpenCode-only tools such as `call_omo_agent(...)`, `task(...)`, `background_output(...)`, or `team_*(...)` literally. Translate those examples to Codex native tools: | OpenCode example | Codex tool to use | | --- | --- | | `call_omo_agent(subagent_type="explore", ...)` | `multi_agent_v1.spawn_agent({"message":"TASK: act as an explorer. ...","agent_type":"explorer","fork_context":false})` | | `call_omo_agent(subagent_type="librarian", ...)` | `multi_agent_v1.spawn_agent({"message":"TASK: act as a librarian. ...","agent_type":"librarian","fork_context":false})` | | `task(subagent_type="plan", ...)` | `multi_agent_v1.spawn_agent({"message":"TASK: act as a planning agent. ...","agent_type":"plan","fork_context":false})` | | `task(subagent_type="oracle", ...)` for final verification | By default, record a self-review in the notepad: re-read the diff, run diagnostics, and capture evidence for every acceptance criterion. Only when the user demanded strict, rigorous, or high-accuracy review, use `multi_agent_v1.spawn_agent({"message":"TASK: act as a rigorous reviewer. ...","agent_type":"lazycodex-gate-reviewer","fork_context":false})`; include `fork_context: false`. | | `task(category="...", ...)` for implementation or QA | `multi_agent_v1.spawn_agent({"message":"TASK: act as an implementation or QA worker. ...","agent_type":"lazycodex-worker-medium","fork_context":false})` | | `background_output(task_id="...")` | `multi_agent_v1.wait_agent(...)` for mailbox signals | | `team_*(...)` | Use Codex native subagents via `multi_agent_v1.spawn_agent` and `multi_agent_v1.wait_agent`; use `multi_agent_v1.send_input` and `multi_agent_v1.close_agent` only when exposed in the active tools list | Role-specific behavior must be described in a self-contained `message`. Use `fork_context: false` to start the child with only the initial prompt (no parent history); use `fork_context: true` only when full parent history is truly required. Include any required conversation context, files, diffs, constraints, and requested skill names directly in the spawned agent's `message`. OMO installs these selectable agent roles into `~/.codex/agents/`: `explorer`, `librarian`, `plan`, `momus`, `metis`, `lazycodex-code-reviewer`, `lazycodex-qa-executor`, and `lazycodex-gate-reviewer` - pass the matching name as `agent_type` so the child gets that role's model and instructions. Inspect the actual spawn schema: whenever `agent_type` is exposed, EVERY spawn MUST select an exact LazyCodex role, on V1 or V2. Implementation difficulty selects `lazycodex-worker-low`, `lazycodex-worker-medium`, or `lazycodex-worker-high`; clone QA can select `lazycodex-clone-fidelity-reviewer`. Never select generic `worker` or `default`. If a code block below conflicts with this section, this section wins. Codex exposes ONE of two subagent tool surfaces per session; check your own tool list and route accordingly. If `multi_agent_v1.*` tools exist, use the table above as written. If instead a flat `spawn_agent` with a required `task_name` exists (`multi_agent_v2`), rewrite every `multi_agent_v1.*` example: `multi_agent_v1.spawn_agent({...,"fork_context":false})` becomes `spawn_agent({"task_name":"<lowercase_digits_underscores>","message":...,"agent_type":...,"fork_turns":"none"})` (`"all"` only when full parent history is truly required); `send_input` becomes `send_message`; do not call `close_agent`/`resume_agent` (finished agents end on their own; `followup_task` re-tasks one, `interrupt_agent` stops one); `wait_agent` takes only `timeout_ms` and returns on any child mailbox activity. Do not infer role support from V1/V2 or a model version. Legacy-schema exception: only if the actual schema lacks `agent_type`, omit that unsupported field and carry the complete role instructions in `message`, with history explicitly disabled. This cannot select a specialized TOML; an installed managed default supplies the medium worker for unnamed non-forks. The guard has no schema metadata and rejects unnamed calls, so report incompatible routing instead of retrying generically. Every deliberate full-history fork must still name its role: Codex skips role application on unnamed full-history forks, an upstream gap no LazyCodex default can repair. If a code block below conflicts with this section, this section wins. `fork_context` is rejected on `multi_agent_v2` (`fork_context is not supported in MultiAgentV2; use fork_turns instead`). When translating `load_skills=[...]`, include the requested skill names in the spawned agent's `message`. If a code block below conflicts with this section, this section wins. Omit optional keys you do not set. Never send `items: []`, `message: ""`, `model: ""`, `reasoning_effort: ""`, or `service_tier: ""` — Codex rejects them (`Items can't be empty`, `reasoning_effort must not be empty`). For work likely to exceed one wait cycle, require the child to send `WORKING: <task> - <current phase>` before long passes and `BLOCKED: <reason>` only when progress stops. A `multi_agent_v1.wait_agent` timeout only means no new mailbox update arrived; back off between waits (double the timeout up to ~5 minutes) instead of spinning short cycles. Treat a running child as alive. Fallback only when the child is completed without the deliverable, ack-only after followup, explicitly `BLOCKED:`, or no longer running. # /init-deep Generate hierarchical AGENTS.md files. Root + complexity-scored subdirectories. ## Usage ``` /init-deep # Update mode: modify existing + create new where warranted /init-deep --create-new # Read existing → remove all → regenerate from scratch /init-deep --max-depth=2 # Limit directory depth (default: 3) ``` --- ## Workflow (High-Level) 1. **Discovery + Analysis** (concurrent) - Fire background explore agents immediately - Main session: bash structure + LSP/ast-grep code map + read existing AGENTS.md 2. **Score & Decide** - Determine AGENTS.md locations from merged findings 3. **Generate** - Root first, then subdirs in parallel 4. **Review** - Deduplicate, trim, validate <critical> **TodoWrite ALL phases. Mark in_progress → completed in real-time.** ``` TodoWrite([ { id: "discovery", content: "Fire explore agents + LSP/ast-grep map + read existing", status: "pending", priority: "high" }, { id: "scoring", content: "Score directories, determine locations", status: "pending", priority: "high" }, { id: "generate", content: "Generate AGENTS.md files (root + subdirs)", status: "pending", priority: "high" }, { id: "review", content: "Deduplicate, validate, trim", status: "pending", priority: "medium" } ]) ``` </critical> --- ## Phase 1: Discovery + Analysis (Concurrent) **Mark "discovery" as in_progress.** ### Fire Background Explore Agents IMMEDIATELY Don't wait-these run async while main session works. **Ground every agent in real symbol data**: any task touching structure, entry points, dependencies, or hotspots MUST query `lsp_symbols`/`lsp_find_references` and the ast-grep skill (`sg`) when present, and ground its claims in that data instead of guessing from conventions. Richer real context per agent = a more accurate project map. ``` // Fire all at once, collect results later task(subagent_type="explore", load_skills=[], description="Explore project structure", run_in_background=true, prompt="Project structure: map real layout via glob + lsp_symbols scope=workspace → REPORT deviations from standard patterns") task(subagent_type="explore", load_skills=[], description="Find entry points", run_in_background=true, prompt="Entry points: FIND main files, trace reach via lsp_symbols + lsp_find_references → REPORT non-standard organization") task(subagent_type="explore", load_skills=[], description="Find conventions", run_in_background=true, prompt="Conventions: FIND config files (.eslintrc, pyproject.toml, .editorconfig) → REPORT project-specific rules") task(subagent_type="explore", load_skills=[], description="Find anti-patterns", run_in_background=true, prompt="Anti-patterns: FIND 'DO NOT', 'NEVER', 'ALWAYS', 'DEPRECATED' comments → LIST forbidden patterns") task(subagent_type="explore", load_skills=[], description="Explore build/CI", run_in_background=true, prompt="Build/CI: FIND .github/workflows, Makefile → REPORT non-standard patterns") task(subagent_type="explore", load_skills=[], description="Find test patterns", run_in_background=true, prompt="Test patterns: FIND test configs/structure; lsp_find_references on core modules to see what is covered → REPORT unique conventions") ``` <dynamic-agents> **DYNAMIC AGENT SPAWNING**: After bash analysis, spawn ADDITIONAL explore agents based on project scale: | Factor | Threshold | Additional Agents | |--------|-----------|-------------------| | **Total files** | >100 | +1 per 100 files | | **Total lines** | >10k | +1 per 10k lines | | **Directory depth** | ≥4 | +2 for deep exploration | | **Large files (>500 lines)** | >10 files | +1 for complexity hotspots | | **Monorepo** | detected | +1 per package/workspace | | **Multiple languages** | >1 | +1 per language | ```bash # Measure project scale first total_files=$(find . -type f -not -path '*/node_modules/*' -not -path '*/.git/*' | wc -l) total_lines=$(find . -type f \\( -name "*.ts" -o -name "*.py" -o -name "*.go" \\) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | tail -1 | awk '{print $1}') large_files=$(find . -type f \\( -name "*.ts" -o -name "*.py" \\) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | awk '$1 > 500 {count++} END {print count+0}') max_depth=$(find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' | awk -F/ '{print NF}' | sort -rn | head -1) ``` Example spawning: ``` // 500 files, 50k lines, depth 6, 15 large files → spawn 5+5+2+1 = 13 additional agents task(subagent_type="explore", load_skills=[], description="Analyze large files", run_in_background=true, prompt="Large file analysis: FIND files >500 lines, REPORT complexity hotspots") task(subagent_type="explore", load_skills=[], description="Explore deep modules", run_in_background=true, prompt="Deep modules at depth 4+: FIND hidden patterns, internal conventions") task(subagent_type="explore", load_skills=[], description="Find shared utilities", run_in_background=true, prompt="Cross-cutting concerns: FIND shared utilities across directories") // ... more based on calculation ``` </dynamic-agents> ### Main Session: Concurrent Analysis **While background agents run**, main session does: #### 1. Bash Structural Analysis ```bash # Directory depth + file counts find . -type d -not -path '*/\\.*' -not -path '*/node_modules/*' -not -path '*/venv/*' -not -path '*/dist/*' -not -path '*/build/*' | awk -F/ '{print NF-1}' | sort -n | uniq -c # Files per directory (top 30) find . -type f -not -path '*/\\.*' -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -30 # Code concentration by extension find . -type f \\( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.go" -o -name "*.rs" \\) -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20 # Existing AGENTS.md / CLAUDE.md find . -type f \\( -name "AGENTS.md" -o -name "CLAUDE.md" \\) -not -path '*/node_modules/*' 2>/dev/null ``` #### 2. Read Existing AGENTS.md ``` For each existing file found: Read(filePath=file) Extract: key insights, conventions, anti-patterns Store in EXISTING_AGENTS map ``` If `--create-new`: Read all existing first (preserve context) → then delete all → regenerate. #### 3. Code Map - drive LSP AND ast-grep (do NOT skip) Highest-signal source for the CODE MAP and the Symbol/Export/Reference scoring rows. Complementary, not alternatives - run BOTH when present, alongside the explore agents.
Auf GitHub ansehen
Diese SKILL.md ist sehr gross, daher zeigt SkillsMP hier nur den ersten Abschnitt. Auf GitHub ansehen