00-andruia-consultant
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.
$ npx -y skills add sickn33/antigravity-awesome-skills --skill ax-extract-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ax-extract-workflowContext preview
The summary Claude sees to decide when to auto-load this skill.
Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.
name: ax-extract-workflow description: "Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built." category: development risk: safe source: community source_repo: Necmttn/ax source_type: community date_added: "2026-06-21" author: Necmttn tags: [ai-coding, workflow-reconstruction, session-analysis, observability] tools: [claude, cursor, gemini, codex-cli] license: "AGPL-3.0-only" license_source: "https://github.com/Necmttn/ax/blob/main/LICENSE"
Use this skill to reconstruct the workflow behind a past coding-agent artifact: a shipped feature, PR, demo, refactor, report, or other concrete result. It uses the local `ax` graph to connect commits, sessions, turns, skills, and tool traces into a short "how this got made" narrative.
`ax` must be installed, available on `PATH`, and able to reach its local database. If ax cannot connect to its DB, report the connection failure and stop instead of guessing from memory.
Identify the best anchor from the user's request:
ax recall "live ingest dashboard" --sources=turn,commit,skill --scope=here ax sessions near abc1234 --json ax sessions around 2026-06-15 --days=3 --json ax sessions here --days=14
These commands are read-only inspection commands.
Choose the few sessions most likely to explain the artifact. Prefer sessions that mention the artifact, touch related files, include relevant commits, or have skills and tool calls that match the work.
If several candidates are plausible, show the user the candidates and ask which one to inspect.
Open each selected session and look for:
ax sessions show <session-id> --json ax sessions show <session-id> --by-role ax recall "specific keyword from the artifact" --sources=turn,commit --scope=here
Return the result inline unless the user asks for a file. Keep it short and evidence-grounded:
1. Anchor: the date, commit, feature, or artifact you resolved. 2. Ordered workflow: 4-8 steps showing the skill or action and what it produced. 3. Key decisions: the user or agent choices that changed the path. 4. Verification: tests, reviews, checks, or manual evidence. 5. Reproducer brief: the compact recipe for doing similar work again.
Use session IDs, commit SHAs, and file paths as citations when available.
ax sessions near 8f31c2a --json ax sessions show <session-id> --by-role ax sessions show <session-id> --json
Output shape:
Anchor: 8f31c2a, live ingest dashboard Workflow: 1. Problem framing -> narrowed the failure to stale dashboard polling. 2. Session recall -> found the earlier ingest-stream design and constraints. 3. Implementation -> wired the server event bus and browser subscription. 4. Verification -> ran typecheck and refreshed the dashboard locally. Reproducer brief: Start from the failing artifact, find nearby sessions, inspect role-grouped skills, then summarize the smallest ordered path from framing to verification.
ax sessions around 2026-06-15 --days=2 --json ax recall "otel receiver" --sources=turn,commit,skill --scope=here
Use this when the user remembers when the work happened but not the commit.
Find reusable instructions for your project, inspect their complete files, and keep an exact skill set you can review and reuse. Codex or Claude inspects your project and chooses exact skills from the complete local AAS catalog.
Repo: sickn33/antigravity-awesome-skills
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
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