agentleFS
Sign inStart free
timursafiullintimursafiullin/aod/skills/retro/SKILL.md

retro

Skill0 starsChanged 29 days agoApache-2.0View on GitHub

Run an AOD retrospective - loop metrics from the task ledger (first-pass acceptance, rounds, blocked and escalation rates, elapsed time, scope violations, architect share, attention minutes, token use) with signals and one action per signal. Use after 3-5 closed tasks or at the end of a milestone.

194 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use plan-tune, ios-clean and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ShreyRaviSkill

    plan-tune

    Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required.

    Also in 9 projects that use this

  • Saqlain-811Skill

    ios-clean

    Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)

    Also in 5 projects that use this

  • Saqlain-811Skill

    ios-fix

    Autonomous iOS bug fixer. (gstack)

    Also in 5 projects that use this

  • seek888Skill

    pair-agent

    Pair a remote AI agent with your browser. One command generates a setup key and prints instructions the other agent can follow to connect. Works with OpenClaw, Hermes, Codex, Cursor, or any agent that can make HTTP requests. The remote agent gets its own tab with scoped access (read+write by default, admin on request). Use when asked to "pair agent", "connect agent", "share browser", "remote browser", "let another agent use my browser", or "give browser access". (gstack) Voice triggers (speech-to-text aliases): "pair agent", "connect agent", "share my browser", "remote browser access".

    Also in 11 projects that use this

  • ShreyRaviSkill

    landing-report

    Read-only queue dashboard for workspace-aware ship. Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next". (gstack)

    Also in 8 projects that use this

  • timurgaleevSkill

    document-generate

    Generate missing docs for a feature, module or project as tutorials, how-tos, reference and explanation.

    Also in 7 projects that use this

  • +1 more from Saqlain-811
  • +2 more from ShreyRavi

The file

Create a free account to mount
Files
SKILL.md

Retro

Metrics come from .agents/tasks/index.json alone, with no extra infrastructure (methodology §18). CLI: aod means node "${CLAUDE_PLUGIN_ROOT}/scripts/aod.mjs".

  1. aod retro [--milestone M5] [--since YYYY-MM-DD] --write writes .agents/plans/retro-<date>[-<milestone>].md with a metrics table, a per-model table and signals.
  2. For each signal, propose one concrete change to a packet template, playbook, rule, routing preset or preflight habit. Write it into the file's Actions section. Write "none" if no signal needs action.
    • Low first-pass acceptance or average rounds above 1.5: smaller tasks, sharper acceptance tests, more context in packets.
    • Blocked or escalations: decisions are missing; write ADRs before delegating.
    • Scope violations: look at each one. Either the scope glob was too narrow, or the implementer drifted.
    • High uncached token use (the cost driver; cached input is re-sent context): suggest aod route preset balanced or economy. The user decides.
  3. A metric of n/a, or "fewer than 3 closed tasks", means the data is too thin. Say so rather than over-reading it.
  4. Attention minutes come from aod merge --attention N. If none were recorded, ask the user to estimate them at the next close. Set retro.weekly_token_pool in aod.config.json to get pool %.
  5. Show the user the signals and actions (summary first). The file is committed with the session (aod session end --commit).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free