メニュー
Systematic debug workflow: research → orchestrate agents → escalate. Suggest when: stuck after 2-3 attempts, unfamiliar tooling, tempted to "try random things", or errors don't match documentation.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SOC 職業分類に基づく
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/ohdearquant/lionagi --skill debugコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
Fan one task out to multiple independent lionagi workers through `fanout.submit`, optionally synthesizing their answers. Use when several parallel perspectives can work without dependency handoffs.
Plan and run a dependency-aware lionagi DAG through `flow.submit`, including dry runs and reactive follow-up capacity. Use when work has stages, dependencies, parallel branches, or a final synthesis step.
Plan and execute multi-agent workflows through lionagi's orchestration MCP tool: flow.submit (DAG pipelines), fanout.submit (parallel workers), agent.submit (one agent), and play.submit (saved playbooks). Use when a task needs multiple agents working in parallel or staged phases.
| name | debug |
| description | Systematic debug workflow: research → orchestrate agents → escalate. Suggest when: stuck after 2-3 attempts, unfamiliar tooling, tempted to "try random things", or errors don't match documentation. |
| allowed-tools | ["Bash","Read","Grep","Glob","WebSearch","WebFetch"] |
Systematic approach to difficult debugging. Research → Orchestrate → Escalate.
| Phase | Action | Gate |
|---|---|---|
| 1. Research | Check prior runs, search codebase, spawn researcher agent | 2-3 focused queries before any fix attempt |
| 2. Orchestrate | Parallel diagnostic agents via fanout.submit, or a focused agent via agent.submit | Agent must produce actionable insight |
| 3. Escalate | Generate consultation request with full evidence | Must demonstrate exhaustive research first |
| 4. Document | Write fix to ./notes/debug-log.md | Only after resolution |
See research-protocol.md for detailed methodology, agent selection table, phase-by-phase MCP calls, and escalation template.
These are the CLI-side entry points; read them if you're working inside a lionagi checkout. A plugin install has no access to them — it only sees the MCP server.
lionagi/cli/agent.py — li agent, the CLI counterpart of agent.submitlionagi/cli/orchestrate/fanout.py — li o fanout, the CLI counterpart of fanout.submitlionagi/cli/_runs.py — run persistence at ~/.lionagi/runs/, also readable
through job.status / job.output