From antigravity-awesome-skills
Reconstructs the workflow behind a coding-agent artifact by analyzing local ax sessions, commits, skills, and tool traces. Useful when asked how something was built.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:ax-extract-workflowThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill to reconstruct the workflow behind a past coding-agent artifact:
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:
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.
.ax/, regenerate indexes, publish reports, or alter repositories as part of reconstruction.@agenttrace-session-audit - Use for local agent-session health, cost, latency, and tool-failure audits.@domain-modeling - Use when the reconstruction reveals terminology or architectural decisions that should be captured.@planning-with-files - Use when the user wants to turn the reconstructed recipe into a new plan with tracked notes.npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-aas-privacy-compliance-engineering2plugins reuse this skill
First indexed Jun 21, 2026
Reconstructs the ordered skill workflow behind a shipped artifact from past sessions, using ax and commit or date anchors.
Reconstructs the ordered workflow behind a shipped artifact from ax session evidence, commits, and PR context. Use to understand what made a feature, fix, or PR work.
Reconstructs AI agent session history to summarize project state, decisions, and workstreams when onboarding to a brownfield repo. Recommends gates from open decisions.