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APIs & servers (backend)48k · #2259

ax-extract-workflow

Helps your agent understand how a code artifact was built. It reconstructs the workflow from local sessions and commits.

What it does

This tool helps you understand how a project or feature was built. It looks into a coding agent's history to show the steps, tools, and decisions that led to the final result.

When to use it

  • ✓When you ask 'How was X built?'
  • ✓When you want to see the sequence of actions that created something
  • ✓When you have a code, date, or feature name to investigate

Example of what to ask your AI

“How was the live ingest dashboard built?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/ax-extract-workflow/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/ax-extract-workflow/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool searches for records of how a coding agent worked, connecting the actions, tools, and decisions made. It organizes this information into a simple timeline to explain the process.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill ax-extract-workflow

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/ax-extract-workflow/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

ax Extract Workflow

Overview

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.

When to Use This Skill

  • Use when the user asks "how did we build X?", "what made X work?", or "extract the workflow behind this artifact."
  • Use when the anchor is a commit SHA, date, feature name, PR, session, or repo-local artifact.
  • Use when the user wants the sequence of agent skills, prompts, commands, decisions, and checks that led to a result.
  • Do not use for a generic activity summary; use normal session listing instead.

How It Works

Step 1: Resolve the Anchor

Identify the best anchor from the user's request:

  • Commit SHA: use it directly.
  • Date or date range: inspect sessions around the date.
  • Topic, feature, or artifact name: search recall for related turns, commits, and skills.
  • "This repo recently": list recent sessions for the current repo.
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.

Step 2: Pick Relevant Sessions

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.

Step 3: Inspect the Session Trail

Open each selected session and look for:

  • skills used and their order
  • user steering points and clarified constraints
  • files, tests, and commands that changed the direction of the work
  • subagent or tool traces that produced key evidence
  • verification steps before the result was considered done
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

Step 4: Write the Reconstruction

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.

Examples

Reconstruct a Feature from a Commit

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.

Reconstruct Work Around a Date

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.

Best Practices

  • Start from the most concrete anchor available: SHA beats date, date beats vague topic.
  • Treat ax as the source of truth; do not invent missing skills, costs, commands, or decisions.
  • Quote sparingly and only when a user decision or command matters to the reconstruction.
  • Keep private transcript details private; summarize rather than dumping logs.
  • Separate "what happened" from "what to repeat next time."

Limitations

  • Requires a working local ax installation and reachable local ax database.

…

FAQ

What is an 'artifact'?

An 'artifact' is any concrete result of the agent's work, such as a finished feature, a submitted code (PR), a demo, or a report.

What is 'ax'?

'ax' is a tool that the coding agent uses to record its work. This skill requires 'ax' to be installed and working on your computer.

Can I use this to see what I did yesterday?

Yes, if you remember when the work was done or have a name for it, the tool can help reconstruct the process.

Details

Original description by the author

Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2259
License
MIT
Updated
10/15/2026

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