SKILL·18EA22

retro

Necmttn
Aktualisiert 27 days ago
5 Ansichten
104
12
104
Auf GitHub ansehen
Designdesign

Über

Diese Fähigkeit führt Entwickler durch ein Experiment-Schleifen-Retrospective, indem sie offene Vorschläge, ausstehende Entscheidungen und die Wirksamkeit der Harness-Hooks überprüft. Sie wird durch spezifische Befehle wie "ax retrospective" ausgelöst und interagiert mit den lokalen `ax improve`- und `ax hooks`-CLIs, um die Selbstverbesserungsschleife zu schließen. Der Entwickler trifft die endgültigen Entscheidungen für jede Aktion, während Claude die zugrundeliegenden Befehle orchestriert.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add Necmttn/ax -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/Necmttn/ax
Git CloneAlternativ
git clone https://github.com/Necmttn/ax.git ~/.claude/skills/retro

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

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 and the local SurrealDB is running. If ax improve list fails with a connection error, tell the user scripts/db-start.sh 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:retro slash 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. Skill scaffolds + verdict locks are the only side-effects.

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.

  1. Run:

    ax retro pending --since=7 --idle-min=30 --json
    

    Returns sessions in the last 7 days that have no reviewed graph edge yet AND look finished (explicit ended_at, or last turn is

    30min idle). If the list is empty, skip to Step 1.

  2. 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?

  3. On all or <subset>: for each chosen session, write a brief:

    ax retro brief --session=<session_id>
    

    This writes .ax/tasks/retro/<key>.md with frontmatter (transcript path, suggested model, turn count, etc.) and a body that tells the reviewer what to do.

  4. Dispatch one retro-reviewer subagent per brief, in parallel. Pass each brief path in the prompt; let the subagent's frontmatter pin model: opus (override per session if suggested_model differs and the user asked you to economize).

    If the retro-reviewer subagent 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.

  5. 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.

  6. The reviewed edge now exists for each drained session, so a re-run of ax retro pending should show fewer rows.

If the user declines Step 0, move on. The backlog stays - next retro picks it up.

Step 1 - Snapshot

Run silently (parallel where possible):

ax improve list --status=open --json
ax improve list --status=accepted --json
ax improve verdict --json
ax retro list --since=7 --json         # cluster-derived friction summary
ax hooks summary --since=7 --tail=20   # optional; tolerate failure

ax retro list reflects three pattern types now:

  • tool failures (skill form) -> Pre-<Tool> guard proposals
  • correction pressure (guidance form) -> "Reduce recurring user corrections" proposals targeting CLAUDE.md
  • friction kinds (skill form, one per kind) -> Address recurring <kind> friction proposals

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, checkpoints due since last lock. 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:

  1. Run ax improve show <dedupe_sig> --json (or reuse the row from step 1).

  2. 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 SurrealDB schema files. Behavior: run schema lint + one read/write smoke before edit.

  3. Ask the user: accept, reject, or skip.

  4. Branch:

    • accept → run ax improve accept <dedupe_sig>. Tell the user where the SKILL.md was scaffolded. Offer: "Want to refine the scaffolded SKILL.md right now?" If yes: read the file, propose edits, write them back.
    • 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.

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:

  1. Run ax improve verdict <dedupe_sig> to fetch the experiment + checkpoint history.

  2. Render the most recent checkpoint as 2-3 lines:

    Schema change guardrail - t+30 checkpoint 12 opportunities in window, 8 addressed (66%). Suggested: adopted.

  3. 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)
  4. Run ax improve verdict <dedupe_sig> --set <verdict> to lock it.

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.

  1. Show top hooks from ax hooks summary --since=7 --tail=20 if not already shown.

  2. If a hook keeps blocking, ask: "Want to inspect a recent invocation?" Then run ax hooks invocations --command="<hook>" --tail=5 and render.

  3. Backtest known feedback cases:

    ax hooks cases enforce-worktree --tail=50 --window=3
    

    Treat each backtest result as one case type. Report pass/fail/ inconclusive counts.

  4. 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_progress without 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 a defineHook hook in ~/.ax/hooks/, ax hooks backtest it against history, then ax 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 + 7d among 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_reason is 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]
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 list returns empty → run ax ingest --derive-only once, retry. If still empty, evidence is genuinely thin; tell the user.
  • ax improve accept reports scaffold_exists → ask the user if they want --force or to abandon.
  • ax improve verdict --set reports verdict_locked → that experiment is already finalized; show the locked value and move on.
  • ax hooks summary returns nothing → retry with --since=30; if still empty, the hook telemetry pipeline is idle, surface as a TODO.
  • DB connection refused → tell the user scripts/db-start.sh.

Anti-patterns

  • Don't dump raw JSON. Render summaries.
  • Don't run ax improve accept for 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.

GitHub Repository

Necmttn/ax
Pfad: skills/retro
0
agent-memoryagent-observabilityai-agentsbunclaude-codecodex
FAQ

Häufig gestellte Fragen

Was ist der Skill retro?

retro ist ein Claude Skill von Necmttn. Skills bündeln Anweisungen und Ressourcen, die Claude bei Bedarf lädt, um Aufgaben rund um retro ohne zusätzliche Eingaben auszuführen.

Wie installiere ich retro?

Verwende die Installationsbefehle auf dieser Seite: Füge retro als Plugin zu Claude Code hinzu oder klone das Repository in dein Skills-Verzeichnis. Starte Claude danach neu, damit der Skill geladen wird.

Zu welcher Kategorie gehört retro?

retro gehört zur Kategorie Design.

Kann ich retro kostenlos nutzen?

Ja. retro ist auf AIMCP gelistet und kann kostenlos installiert werden.

Verwandte Skills

executing-plans
Design

Verwenden Sie die Fähigkeit "executing-plans", wenn Sie einen vollständigen Implementierungsplan zur Ausführung in kontrollierten Batches mit Überprüfungspunkten vorliegen haben. Sie lädt den Plan und überprüft ihn kritisch, führt dann Aufgaben in kleinen Batches (standardmäßig 3 Aufgaben) aus und meldet den Fortschritt zwischen jedem Batch zur Überprüfung durch den Architekten. Dies gewährleistet eine systematische Implementierung mit integrierten Qualitätskontrollpunkten.

Skill ansehen
requesting-code-review
Design

Diese Fähigkeit sendet einen Unteragenten für Code-Review, um Codeänderungen anhand der Anforderungen zu analysieren, bevor fortgefahren wird. Sie sollte nach dem Abschließen von Aufgaben, der Implementierung größerer Funktionen oder vor dem Zusammenführen in den Hauptzweig verwendet werden. Die Überprüfung hilft dabei, Probleme frühzeitig zu erkennen, indem die aktuelle Implementierung mit dem ursprünglichen Plan verglichen wird.

Skill ansehen
connect-mcp-server
Design

Diese Fähigkeit bietet Entwicklern eine umfassende Anleitung, um MCP-Server über HTTP-, stdio- oder SSE-Transports mit Claude Code zu verbinden. Sie behandelt Installation, Konfiguration, Authentifizierung und Sicherheit für die Integration externer Dienste wie GitHub, Notion und benutzerdefinierter APIs. Nutzen Sie sie beim Einrichten von MCP-Integrationen, bei der Konfiguration externer Tools oder bei der Arbeit mit Claude's Model Context Protocol.

Skill ansehen
web-cli-teleport
Design

Diese Fähigkeit unterstützt Entwickler bei der Wahl zwischen Claude Code Web- und CLI-Schnittstellen basierend auf Aufgabenanalysen und ermöglicht nahtloses Session-Teleporting zwischen diesen Umgebungen. Sie optimiert den Workflow, indem sie den Sitzungsstatus und Kontext beim Wechsel zwischen Web, CLI oder Mobilgeräten verwaltet. Nutzen Sie sie für komplexe Projekte, die in verschiedenen Phasen unterschiedliche Werkzeuge erfordern.

Skill ansehen