compile
The compile skill reads raw artifacts from `.agents/` directories and transforms them into a structured, interlinked markdown encyclopedia with backlinks, indexing, and chronological records. Use this skill to convert accumulated agent knowledge, learnings, and post-mortem insights into a searchable, context-window-friendly wiki that serves as the primary retrieval layer without requiring a vector database.
git clone --depth 1 https://github.com/boshu2/agentops /tmp/compile && cp -r /tmp/compile/images/gemini/skills/compile ~/.claude/skills/compileSKILL.md
# Compile — Knowledge Compiler Reads raw `.agents/` artifacts and compiles them into a structured, interlinked markdown wiki. Inspired by [Karpathy's LLM Knowledge Bases](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f). ## What This Skill Does The knowledge flywheel captures signal reactively (via `/post-mortem`, `/forge`). `/compile` closes the loop by: 1. **Mining** unextracted signal from git and `.agents/` (existing) 2. **Growing** learnings via validation, synthesis, and gap detection (existing) 3. **Compiling** raw artifacts into interlinked wiki articles (NEW — the core value) 4. **Linting** the compiled wiki for contradictions, orphans, and gaps (NEW) 5. **Defragging** stale and duplicate artifacts (existing) **No vector DB.** At personal scale (~100-400 articles), the compiled wiki fits in context windows. The wiki IS the retrieval layer. **Output:** `.agents/compiled/` — encyclopedia-style markdown with `[[backlinks]]`, `index.md` catalog, and `log.md` chronological record. ## Pluggable Compute Backend Set `AGENTOPS_COMPILE_RUNTIME` to choose the LLM backend: | Value | Backend | Notes | |-------|---------|-------| | `codex-cli` | Local `codex` binary | Zero-config. Inherits your Codex CLI auth — no API key needed. Auto-selected if `codex` is on PATH and nothing else is set. | | `ollama` | Ollama API | Default model: `gemma3:27b`. Set `OLLAMA_HOST` for remote (e.g., `ssh -L 11435:localhost:11435 bushido-windows`). | | `claude` | Claude API (HTTP) | Uses `ANTHROPIC_API_KEY`. Model: `claude-sonnet-4-20250514`. | | `openai` | OpenAI-compatible | Uses `OPENAI_API_KEY` + `OPENAI_BASE_URL`. | | (unset) | Claude Code session | Compilation happens inline via the current session's LLM. | When `AGENTOPS_COMPILE_RUNTIME` is unset, `ao compile` first tries to auto-detect a local `codex` binary (codex-cli runtime). If that is also absent, headless compile fails fast with an explicit error naming the env var to set. Interactive `/compile` invocations still run compilation prompts inline — the agent reading this SKILL.md IS the compiler. ### Runtime preference (override auto-detect) To force a non-auto-detected runtime permanently (e.g. you have `claude` installed but prefer Ollama for privacy), set it in `~/.agentops/config.yaml`: ```yaml compile: preferred_runtime: ollama ``` Precedence (high → low): `--runtime` flag, `AGENTOPS_COMPILE_RUNTIME` env, `compile.preferred_runtime` config, `codex`-binary auto-detect, empty (error). ### Large-corpus batching `ao compile` passes `--batch-size` to the headless compiler (default `25` changed files per LLM prompt). A fresh run against a 2000+ file corpus will split into batches automatically instead of sending one giant prompt. Flags: - `--batch-size N` — files per batch (default 25) - `--max-batches N` — cap batches per invocation; remaining files are picked up on the next run (default 0 = unlimited) ## Execution Steps Phase-by-phase detail lives in [references/phases.md](references/phases.md). Summary of modes: - `/compile` — Full cycle: Mine → Grow → Compile → Lint → Defrag - `/compile --compile-only` — Skip mine/grow, just compile + lint - `/compile --lint-only` — Only lint the existing compiled wiki - `/compile --defrag-only` — Only run defrag/cleanup - `/compile --mine-only` — Only run mine + grow (legacy behavior) The steps are: 1. **Mine** — extract signal from git + `.agents/research/` + complexity hotspots 2. **Grow** — LLM-driven validation, synthesis, gap detection; adjust learning confidence 3. **Compile** — inventory → topic extraction → wiki articles with `[[backlinks]]` 4. **Lint** — contradictions, orphans, missing cross-refs, stale claims 5. **Defrag** — prune stale, dedup near-duplicates, sweep oscillating goals, normalization scan 6. **Report** — write `.agents/compile/YYYY-MM-DD-report.md` See [references/phases.md](references/phases.md) for the full per-phase procedure, confidence-scoring table, auto-promotion rules, template shapes for article / index / log / lint-report / compile-report, and the normalization defect scan. ## Scheduling / Auto-Trigger Lightweight defrag (prune + dedup, no mining or compilation) runs automatically at session end via the `compile-session-defrag.sh` hook. This keeps the knowledge store clean without requiring manual `/compile` invocations. The hook: - Fires on every `SessionEnd` event after `session-end-maintenance.sh` - Skips silently if the `ao` CLI is not available - Runs only `ao defrag --prune --dedup` (no compilation or mining) - Has a 20-second timeout to avoid blocking session teardown For full compilation, invoke `/compile` manually or schedule the headless compiler script with your host OS: ```bash # Example: external cron entry for nightly compilation on bushido 0 3 * * * cd /path/to/repo && AGENTOPS_COMPILE_RUNTIME=ollama bash skills/compile/scripts/compile.sh --force ``` AgentOps exposes this flow through `ao compile`. If you want unattended compilation, use your host scheduler (`launchd`, `cron`, `systemd`, CI, etc.) to invoke `ao compile --force --runtime ollama` or call the lower-level `bash skills/compile/scripts/compile.sh` directly. If you want the broader out-of-session compounding loop, run it on the out-of-session substrate (NTM + MCP + managed-agents) instead of inventing a parallel Dream wrapper inside `/compile`. ## Interactive Modes These modes describe the interactive `/compile` skill behavior: | Mode | Description | |------|-------------| | `--compile-only` | Skip mine/grow, just compile + lint | | `--lint-only` | Only lint the existing compiled wiki | | `--defrag-only` | Only run defrag/cleanup | | `--mine-only` | Only run mine + grow (legacy behavior) | | `--full` | Full cycle: mine → grow → compile → lint → defrag | | `--since 26h` | Time window for the mine phase | | `--incremental` | Skip unchanged source files (hash-based) | | `--force` | Recompile all articles regardless of hashes | ## Headless Script Flags
Use Agent Mail from Codex for file leases, notifications, inboxes, and conflict prevention.
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Use when converting markdown plans into br beads with dependencies for implementation or swarm execution.
Use when switching AI coding CLI accounts quickly to recover from subscription rate limits or OAuth friction.
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Use when starting non-trivial work, mining lessons, or preventing repeated mistakes with cm procedural memory.
Mine past agent sessions for working prompts, decisions, and patterns. Use when "what did I ask?", "find that prompt", session archaeology, or agent history.