retro
Guided experiment-loop retrospective over the ax agent-experience graph. Walks the user through their open proposals (accept-with-scaffold or reject), pending verdicts (confirm the suggested verdict or override), and recent harness-hook effectiveness signal. Triggers when the user says "let's do an ax retro", "ax retrospective", "review my ax proposals", "triage proposals", "experiment loop status", "lock pending verdicts", "hook effectiveness review", "intervention review", "self-improvement session", or invokes /ax:retro. Reads/writes via the local `ax improve` and `ax hooks` CLIs. Do NOT auto-trigger on unrelated work.
How do I install this agent skill?
npx skills add https://github.com/necmttn/ax --skill retroIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides a guided interface for the 'ax' (axctl) experiment-loop, allowing users to review session history and manage improvement proposals. It interacts with the local 'ax' CLI to read session data, scaffold new skill files, and record experiment results. The skill operates primarily on local data and requires user confirmation for all modifications.
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Risk: LOW · No issues
What does this agent skill do?
ax:retro - guided experiment-loop session
Closes the self-improvement loop. Claude orchestrates ax improve …
commands; the user decides each row.
Assumes ax (axctl) is on PATH. If ax improve list fails, tell the user
to check docs/development.md#setup (DuckDB dylib setup - no daemon
required) and stop.
When to fire
ONLY fire on explicit triggers:
- "let's do an ax retro" / "ax retrospective" / "retro time"
- "review my ax proposals" / "triage proposals"
- "what's my experiment loop status" / "lock pending verdicts"
- "hook effectiveness review" / "intervention review"
- "self-improvement session"
/ax:retroslash command (if the plugin marketplace publishes one)
Do NOT fire on a generic "look at my recent work" - that risks dragging unrelated context into the loop.
Defaults
- Window for hook signals: last 7 days. Widen to 30 if evidence is sparse.
- Don't apply changes silently. Every accept/reject/verdict gets the user's explicit yes per row.
- The retro is read-mostly. Its side-effects are the Step 1 checkpoint
measurements, the task briefs
acceptemits, and verdict locks.
Workflow
Step 0 - Drain pending session retros
Before the proposal queue, check whether prior sessions still owe a retro. This is the "quota arbitrage" path - idle Opus budget chews through the backlog so the experiment loop has signal next time.
-
Run:
ax retro pending --since=7 --idle-min=30 --jsonReturns sessions in the last 7 days that have no
reviewedgraph edge yet AND look finished (explicitended_at, or last turn is30min idle). If the list is empty, skip to Step 1.
-
Show the list to the user as 1 line per session (project · turns · model · reason). Ask:
N session(s) pending retro. Want me to dispatch the retro-reviewer subagent for all of them in parallel, or pick a subset?
-
On
allor<subset>: for each chosen session, write a brief:ax retro brief --session=<session_id>This writes
.ax/tasks/retro/<key>.mdwith frontmatter (transcript path, suggested model, turn count, etc.) and a body that tells the reviewer what to do. -
Dispatch one
retro-reviewersubagent per brief, in parallel. Pass each brief path in the prompt; let the subagent's frontmatter pinmodel: opus(override per session ifsuggested_modeldiffers and the user asked you to economize).If the
retro-reviewersubagent type doesn't resolve (not installed, or the active harness is not Claude Code), read and review the brief INLINE using its required-output instructions instead of abandoning the backlog. -
Wait for all subagents. Aggregate results: counts of retros emitted, proposals recommended, model-fit suggestions. Render as a short summary. The user does not approve retro emissions per row - the subagent already wrote them. The user DOES decide on resulting proposals in Step 2.
-
The
reviewededge now exists for each drained session, so a re-run ofax retro pendingshould show fewer rows.
If the user declines Step 0, move on. The backlog stays - next retro picks it up.
Step 1 - Snapshot
Measure first, then read. The checkpoint pass is what turns due windows into current ones; a verdict read taken before it reports whatever the last run happened to leave behind.
-
Run the prerequisite ALONE and wait for it:
AX_NO_AUTO_INGEST=1 ax improve checkpoint --jsonIt reads the published snapshot and writes checkpoint judgments only - no transcript parsing, no guidance edits, no verdict locks. Leave
--forceout of an ordinary retro; it rewrites unreviewed windows that are already current. -
On success, run the reads (parallel is fine). Prefix EVERY command - a prefix on the first one leaves the freshness drive on for the rest:
AX_NO_AUTO_INGEST=1 ax improve list --status=open --json AX_NO_AUTO_INGEST=1 ax improve list --status=accepted --json AX_NO_AUTO_INGEST=1 ax improve verdict --json AX_NO_AUTO_INGEST=1 ax retro list --since=7 --json # cluster-derived friction summary AX_NO_AUTO_INGEST=1 ax hooks summary --since=7 --tail=20 # optional; tolerate failure -
If the checkpoint run fails, tell the user measurement is unavailable and continue with proposal review only. Any suggestion already stored belongs to an earlier run - report it as that, and skip the verdict step.
-
If the checkpoint result reports
cacheRefreshRequiredabove zero, the opportunity evidence needs deriving; say so, and treat those experiments as unmeasured. When the user asks for current evidence, run three operations in order, each awaited on its own:ax ingest(wait for successful publication), the checkpoint prerequisite, then the reads.
ax retro list reflects three pattern types now:
- tool failures (skill form) ->
Pre-<Tool> guardproposals - correction pressure (guidance form) -> "Reduce recurring user
corrections" proposals targeting
CLAUDE.md - friction kinds (skill form, one per kind) ->
Address recurring <kind> frictionproposals
If any of those surfaced, mention them so the user knows to triage in Step 2.
Compute counts: open proposals (by form), accepted experiments with
locked_verdict IS NONE, and - separately - experiments whose current
view carries a current_reason (insufficient data or a lifecycle state).
Then render to the user as 2-4 lines, e.g.:
7 open proposals (3 skill, 4 guidance). 2 accepted experiments are waiting on a verdict. Hook activity last 7d: 142 invocations, 3 blocking errors. Want to triage proposals first, lock the pending verdicts, or skim hook signals?
If both proposal/verdict queues are empty: tell the user nothing's due
and offer ax ingest --derive-only to refresh evidence.
Step 2 - Triage open proposals
Order open proposals by frequency desc. For each, in turn:
-
Run
ax improve show <dedupe_sig> --json(or reuse the row from step 1). -
Render as 3-5 lines. Example for a skill proposal:
Schema change guardrail (skill · freq=9 · confidence=high) Hypothesis: schema edits often surface in fix-chains within ~14d. Trigger: fix commits overlap schema files. Behavior: run schema lint + one read/write smoke before edit.
-
Ask the user: accept, reject, or skip.
-
Branch:
- accept → run
ax improve accept <dedupe_sig>. By default this emits a TASK BRIEF and returns itstask_path; it does not install the artifact. Report that path. Offer: "Want me to implement the brief now?" If yes: implement it, then runax improve lintso ax reconciles the marker it finds on disk and records the installed artifact. Until lint records one, the experiment has no measurable installation. - reject → ask for a short reason (≤80 chars).
Run
ax improve reject <dedupe_sig> --reason "<reason>". - skip → no command. Move on; the proposal stays open for the next retro.
- accept → run
After the loop, summarize: "Accepted 3, rejected 1, skipped 2."
Step 3 - Verdict review
For each experiment whose latest checkpoint is unlocked
(locked_verdict IS NONE), in age order:
-
Run
AX_NO_AUTO_INGEST=1 ax improve verdict <dedupe_sig>to fetch the experiment + checkpoint history. -
When the current view carries a
current_reason, there is no suggestion to confirm. Report the reason as it is -no opportunities in the window,no detector for this form,retired- and move to the next experiment. A suggestion in thecheckpointshistory is history, not a recommendation. -
Otherwise render the current checkpoint as 2-3 lines:
Schema change guardrail - +30s checkpoint 12 opportunities in window, 8 addressed (66%) - observed use. Suggested: adopted.
-
Ask the user to confirm the suggested verdict OR override:
adopted(artifact is doing real work)ignored(user wrote it but never invoked it)regressed(it made things worse)partial(mixed signal)no_longer_needed(pattern self-resolved; trigger stopped firing)
-
Run
ax improve verdict <dedupe_sig> --set <verdict>to lock it. All five values stay available to the user by hand, includingno_longer_needed, which the algorithm never suggests on its own.
Step 4 - Hook effectiveness pass (optional)
Only run if the user asked for hook review OR if step-1 found ≥3 blocking errors. Light touch - this section is read-only.
-
Show top hooks from
ax hooks summary --since=7 --tail=20if not already shown. -
If a hook keeps blocking, ask: "Want to inspect a recent invocation?" Then run
ax hooks invocations --command="<hook>" --tail=5and render. -
Backtest known feedback cases:
ax hooks cases enforce-worktree --tail=50 --window=3Treat each backtest result as one case type. Report pass/fail/ inconclusive counts.
-
Interpretation:
- A blocking hook error is not automatically bad. If the next few agent actions show corrected behavior, it's a useful corrective signal.
- A successful hook is not automatically useful. Look for downstream behavior change.
hook_progresswithout a terminal success/blocking event is a telemetry gap unless correlated with visible behavior.- Prefer deterministic backtests over model judgment.
- To author a NEW guard from a recurring failure:
ax hooks init, write adefineHookhook in~/.ax/hooks/,ax hooks backtestit against history, thenax hooks install --providers=claude,codex.
Step 5 - Close out
Output a one-paragraph summary:
- Counts: accepted / rejected / skipped / verdicts locked.
- Any scaffolded SKILL.md files that still need refinement.
- When the next retro is recommended. Compute: earliest
experiment.created_at + 7damong accepted-but-unlocked experiments, formatted as "next retro suggested around YYYY-MM-DD".
Then ask whether the user wants to commit the scaffolded skill files + proposal-status changes (DB is local, but SKILL.md files are on disk and may belong in version control).
How to track feedback
The retro itself produces durable signal that the experiment loop already captures:
-
Acceptance rate by form - after the session, derive from
proposal.status. If skill-form gets accepted 80% but guidance gets rejected 80%, the derive-proposals stage is over-eager on the wrong form. Surface as an observation. -
Reject reasons -
proposal.reject_reasonis a free-text corpus. After the session run:ax improve list --status=rejected --json | jq '.[].reject_reason'Look for repeated phrases ("duplicate of existing hook"). When a pattern emerges, the derive-proposals stage should dedupe against it
- tell the user.
-
Verdict surprises - when the user overrides a suggested verdict, note it. Repeated overrides mean the verdict math is biased.
These are observations, not actions. Report in the close-out; don't write to insight tables.
CLI reference Claude calls
ax improve list [--form=skill|subagent|hook|guidance|automation] \
[--status=open|accepted|rejected|superseded|all] [--json]
ax improve show <dedupe_sig> [--json]
ax improve accept <dedupe_sig> [--force]
ax improve reject <dedupe_sig> --reason "<text>"
ax improve verdict [<dedupe_sig>] [--set <verdict>] [--json]
ax improve checkpoint [--force] # Step 1 prerequisite; --force only on request
ax improve reset --yes # destructive; only when user requests
ax retro pending [--since=N] [--idle-min=N] [--json] # Step 0 backlog
ax retro brief --session=<id> [--out-dir=<path>] [--json]
ax retro emit --session=<id> [--source=<src>] [--from-file=<json>]
ax retro list [--since=N] [--limit=N] [--json]
ax hooks summary [--since=N] [--tail=N]
ax hooks invocations [--command="<name>"] [--tail=N]
ax hooks cases <case-name> [--tail=N] [--window=N]
--force on accept overwrites an existing SKILL.md scaffold. Only use
when the user explicitly says so.
reset --yes wipes ALL proposal/experiment/checkpoint state. NEVER run
without explicit user confirmation in this session.
Failure modes
ax improve listreturns empty → runax ingest --derive-onlyonce, retry. If still empty, evidence is genuinely thin; tell the user.ax improve acceptreportsscaffold_exists→ ask the user if they want--forceor to abandon.ax improve verdict --setreportsverdict_locked→ that experiment is already finalized; show the locked value and move on.ax improve checkpointfails → measurement is unavailable for this retro. Say so, skip Step 3, and keep Step 2 going.ax hooks summaryreturns nothing → retry with--since=30; if still empty, the hook telemetry pipeline is idle, surface as a TODO.- Read/query error → tell the user to check
docs/development.md#setup(AX_DUCKDB_DYLIB).
Anti-patterns
- Don't dump raw JSON. Render summaries.
- Don't run
ax improve acceptfor every open proposal in a batch; the user must say yes per row. - Don't write to
~/.claude/skills/directly. The CLI handles that. - Don't propose deleting a scaffolded SKILL.md mid-retro; that's a separate cleanup task.
- Don't auto-implement experiments from the hook pass. Recommendations only; the user decides + commits.
How can the creator link this skill?
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/retro">View retro on skillZs</a>