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necmttn/ax109 installs

ax-narrate

Write the agent-generated narration of the current session - the reviewable story of what changed, including what never reaches a PR (user corrections, abandoned attempts, tool failures). Triggers on "narrate this session", "summarize what changed", "write the session story", "narrate what we did", "session narration". Output is .ax/narrations/<session-id>.json for the ax studio narration view. Do NOT fire on "summarize this file" or generic recap questions answered inline - this skill writes a structured artifact.

How do I install this agent skill?

npx skills add https://github.com/necmttn/ax --skill ax-narrate
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill generates a structured narrative of the current AI session, documenting changes, corrections, and tool outcomes. It saves this information to a local JSON file within the project directory for use by an external studio viewer. It utilizes local CLI commands to retrieve session identifiers and metadata.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

ax:narrate - write the session's story as a structured narration

You were there. This skill turns YOUR OWN memory of the session into a reviewable artifact: 3-7 stops in reading-flow order, each anchored to real evidence - code hunks, turn numbers, user quotes, failures. The point is to capture what a PR diff never shows: the corrections, the dead ends, the recoveries.

The artifact validates against SessionNarration in apps/studio/src/routes/narration-types.ts and renders in ax studio.

Step 1 - identify the session

  • Preferred: ax sessions here --days=1 --json and pick the current session's id (the one matching this conversation). Use the short id.
  • If ax is unavailable or the session isn't ingested yet, derive a slug: <repo>-<YYYYMMDD-HHmm>. Note in meta that turn seqs are best-effort ordinals in that case.
  • If available, ax sessions show <id> --json gives you the real turn seqs to anchor against. Prefer real seqs over guesses.

Step 2 - reconstruct the story from your own context

Re-read the conversation in your head before writing anything:

  1. What did the user originally ask for? (intent)
  2. What existed before, what exists now? (before/after)
  3. Where did the user redirect or correct you? EVERY one of these becomes a correction anchor. No exceptions.
  4. Which tool failures actually mattered (changed your approach, cost real time, forced a workaround)? Each becomes a tool_failure anchor. Skip trivial retries that changed nothing.
  5. Which attempts were abandoned? They get a stop or at least a turn anchor - abandonment is part of the story.

Step 3 - choose 3-7 stops, in reading-flow order

A stop is a LOGICAL unit of change, not a file. If three files changed for one reason, that is ONE stop with several anchors. Order rules (stolen from the code-tour playbook because they work):

  • Entry point first: the change that, understood alone, unlocks the rest.
  • Cause before effect: the correction comes before the code it caused.
  • Definitions before consumers: types/schema stops before usage stops.
  • Verification last: tests, typecheck, and the failures hit on the way.
  • Combine trivial housekeeping into one final stop, or omit it.

Step 4 - write each stop

  • title: short and friendly. "Call counts become a char diffstat", not "Changes to files-touched.ts".
  • gist: ONE sentence. Not two. A reader who reads nothing else must get the stop from the gist. Conversational, the way you'd say it to a colleague.
  • detail: 2-4 sentences of markdown (paragraphs, inline code, bold). Say WHY the change looks the way it does; "we did X instead of Y because Z" is exactly what the reader wants.
  • transition: a short connective phrase to the next stop; empty string "" for the last stop.
  • anchors: MUST be non-empty. An unanchored stop is an unsupported claim. Anchor kinds:
kindrequired fieldsuse for
file_hunkfile, old_text, new_text, label, opt turn_seqa real code change
code_stateartifact, label, lang, code, opt turn_seqthe evolving architecture snapshot
turnturn_seq, labela plain moment in the transcript
user_directionturn_seq, quoteuser steering (not correcting)
correctionturn_seq, quote, outcomeuser correcting course
tool_failureturn_seq, tool, error_excerpt, recoveryconsequential failure
termname, definitiona domain term the story leans on

Hard anchor rules

  • file_hunk carries VERBATIM old/new fragments from the actual edits you made - copy the real text, never paraphrase code. Keep hunks short (5-15 lines per side); pick the most telling fragment, not the whole edit. old_text: null for pure insertions, new_text: null for pure deletions. Never both null.
  • Every user correction/redirect in the session gets a correction anchor with a verbatim (trimmed) quote and a concrete outcome - what actually changed because of it.
  • Every consequential tool failure gets a tool_failure anchor with a real error_excerpt and how you recovered (or "abandoned").
  • Never fabricate turn seqs. Use ax sessions show seqs when you have them; otherwise count user turns from the start of the conversation and say so in the detail.
  • code_state is the architecture spine of the narration: pick ONE stable artifact id (e.g. "review-architecture") and restate the FULL snapshot at each stop where the design moved - pseudo-code of types/interfaces, how they compose, and the call stack (plan-style: Caller -> Callee // note). Consecutive snapshots of the same artifact animate token-by-token in studio, so KEEP shared lines byte-identical between stops and let only the real delta differ - a new method, a renamed shape, an added edge case. Use code_state for the evolving design; use file_hunk for one-off code jumps (those render as static before/after diffs, not motion).

Step 5 - emit the artifact

Write .ax/narrations/<session-id>.json (create the directory if needed) with exactly this top-level shape:

{
  "schema_version": 1,
  "kind": "narration",
  "meta": {
    "session_id": "<id>",
    "generated_at": "<ISO-8601 now>",
    "generator": "skill",
    "model": "<your model id>"
  },
  "title": "...",
  "intent": "...",
  "before": "...",
  "after": "...",
  "stops": [ { "title": "...", "gist": "...", "detail": "...", "transition": "...", "anchors": [ ... ] } ]
}

Before finishing, self-check against the validator's rules:

  • stops non-empty (3-7), every stop's anchors non-empty.
  • Every gist is one sentence; every correction has an outcome; every tool_failure has a recovery; no file_hunk with both sides null or empty.
  • Strings are plain JSON strings (escape newlines in hunks as \n).

Then tell the user where the file landed and give a 2-line summary of the story you wrote. Do not paste the whole JSON into chat.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/necmttn/ax/ax-narrate">View ax-narrate on skillZs</a>