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00 Async Dev

Organization
ai-driven-dev
00-async-dev

Drive the async-dev pipeline from one entry point, whether setup, run, or review. Use when the user wants to install async dev, run a ready issue, or address PR review comments, or on a webhook trigger. Not for plain status checks.

Overview

Publisherai-driven-dev
Repositoryframework
Skill name00-async-dev
Stars
515
Forks
54
Bundled files
30
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 30 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ai-driven-dev on GitHub. Read the source before you install it.

Installation

Install the 00 Async Dev AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-orchestrator/skills/00-async-dev
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ai-driven-dev/framework.git /tmp/framework
mkdir -p .claude/skills
cp -r /tmp/framework/plugins/aidd-orchestrator/skills/00-async-dev .claude/skills/00-async-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 00 Async Dev in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 00 Async Dev on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 00 Async Dev is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Async-dev

Single skill that drives the async development pipeline end to end. Three sub-flows live inside, accessed through one router:

Sub-flowWhen
SetupRepo not yet configured for async dev; user wants to install.
RunAn issue is labeled to-implement (or commented @claude /implement); no open PR closes it.
ReviewA PR is labeled to-review (or commented @claude /review); change requests pending.

Iron rule

You are the router until you commit to a sub-flow. Once committed, run that sub-flow's actions in order; do not jump back to routing mid-flow.

Routing: hybrid contract

Walk in order. First match wins.

  1. Argument override. If the arguments contain exactly setup, run, or review (case-insensitive, standalone token), route there immediately. This is the explicit override the CI workflow uses.
  2. Trigger env. When invoked from CI (GITHUB_EVENT_NAME set):
    • Label payload to-implement → run.
    • Label payload to-review → review.
    • Comment body matches @claude /implement (or /aidd-dev:02-implement) → run.
    • Comment body matches @claude /review → review.
  3. Repo state.
    • Missing .github/workflows/aidd-async.yml AND missing .claude/aidd-orchestrator.json → setup.
    • Open PR closes the referenced issue → review.
    • Fresh issue with no linked PR + intent to implement → run.
  4. Natural-language intent. Verbs in the user prompt:
    • install / configure / set up / bootstrap / rotate config → setup.
    • implement / run / process / handle queue / claude on issue → run.
    • address review / iterate on PR / fix comments / handle review → review.

Tie-break: most-specific signal wins (PR number > label > free-text keyword > config absence).

If none of the above resolves, surface the three sub-flows with one-line triggers and ask the human which to run. Never proceed blindly.

If repo state contradicts intent (e.g. user says "run" but .claude/aidd-orchestrator.json is absent), surface the conflict before delegating; never silently switch.

See references/routing.md for the full decision tree, signal precedence, and edge cases.

Sub-flows

Setup (11 actions)

Sets up async-dev in a repo. Detects context, asks for runtime parameters, generates artefacts, bootstraps labels, installs user-scope plugins (local mode), configures secrets (remote mode), schedules the poll routine (local mode), commits and pushes the generated files, and offers a smoke test on the chosen issue.

#ActionRole
01detect-contextIdentify repo, default branch, existing config, CI permissions
02ask-configCollect runtime parameters (mode, auth, labels, schedule, agents)
03generate-workflowEmit .github/workflows/aidd-async.yml from assets/setup/workflow-template.yml
04generate-local-scriptEmit poll/daemon scripts (local mode only) from assets/setup/local-*-template.sh
05write-configPersist .claude/aidd-orchestrator.json from assets/setup/config-template.json
06bootstrap-labelsCreate to-implement / to-review / claude/* labels via gh
07install-user-scope-pluginsInstall aidd-orchestrator + aidd-dev at user scope (local mode)
08configure-remote-secretsSync CLAUDE_CODE_OAUTH_TOKEN, AIDD_BOT_TOKEN, etc. (remote mode)
09bootstrap-schedulingSchedule the poll routine (local) or rely on workflow webhook (remote)
10commit-and-pushStage generated files, conventional-commit, push
11smoke-testLabel a throwaway issue with to-implement; verify the pipeline reacts

Files: actions/setup/01-detect-context.md ... actions/setup/11-smoke-test.md.

Default flow: 01 → 02 → 03 → 04 → 05 → 06 → 07 → 08 → 09 → 10 → 11. Actions self-skip when their preconditions are not met (e.g. 07 skips in remote mode, 08 skips in local mode).

Run (6 actions)

Executes one orchestration cycle on a fresh issue. Reads ready issues, resolves blockers, acquires the lock label, hands the implementation to the active SDLC orchestration capability, observes the resulting git and VCS state, and emits a run-result.json summary the workflow's post-job consumes.

#ActionRole
01poll-readyFind the next issue with to-implement, no claude/working, no open closing PR
02resolve-depsCheck linked issues / dependencies; abort if blocked
03acquire-lockApply claude/working label; refuse if already held
04check-sdlcVerify an SDLC orchestration capability is loaded
05delegate-sdlcHand the issue to the SDLC capability; observe outcome
06write-auditEmit run-result.json for the workflow's post-job

Files: actions/run/01-poll-ready.md ... actions/run/06-write-audit.md.

Default flow: 01 → 02 → 03 → 04 → 05 → 06. One cycle per ready issue.

Review (4 actions)

Closes the loop after a PR is opened by the run flow. Detects when to keep auto-fixing and when to hand off to a human. Idempotent on re-runs.

#ActionRole
01collect-commentsRead all PR + linked-issue comments newer than the last bot activity
02detect-stopDecide stop vs continue using references/review/stop-conditions.md
03fix-iterationDelegate fixes to the SDLC capability; reply to each addressed comment
04finalizeResolve threads, post the structured summary, set claude/awaiting-review or blocked

Files: actions/review/01-collect-comments.md ... actions/review/04-finalize.md.

Default flow: 01 → 02 → (03 → 01 loop if continue) → 04. Stop conditions in references/review/stop-conditions.md.

Rules

  • Exactly one sub-flow runs per invocation. The router commits, then runs that sub-flow to completion.
  • Never inline a sub-flow's logic at the router level. The router decides; the actions execute.
  • Each action enforces its own pre-flight checks and exit codes. The router never enforces post-conditions.
  • If a sub-flow aborts, surface the exit state; do not retry by switching sub-flows.
  • For batch invocations (e.g. multiple ready issues), the workflow re-invokes the skill once per item; the router does not loop.

Say when this orchestration is over

Once the sub-flow you committed to has run its last action, and only then, run:

shell
echo "aidd:step-end aidd-orchestrator:00-async-dev"

No host reports when an orchestration finished. A skill call's own result comes back in a tenth of a second, which is the dispatch and not the completion, so a measurement that never hears this ends the run at the next pause — and an orchestration is mostly pauses. Everything it drove afterwards then reads as work that belonged to nothing.

References

  • references/routing.md - full decision tree, signal precedence, conflict resolution.
  • references/setup/auth-modes.md - local vs remote auth contracts.
  • references/setup/claude-action-auth.md - claude-code-action token setup.
  • references/setup/local-mode-scheduling.md - poll routine options.
  • references/review/stop-conditions.md - when the review loop hands off to a human.

Assets

Setup-only templates copied into the target repo by the setup sub-flow:

  • assets/setup/workflow-template.yml - .github/workflows/aidd-async.yml skeleton.
  • assets/setup/local-poll-template.sh - local-mode poll script.
  • assets/setup/local-daemon-template.sh - local-mode daemon script.
  • assets/setup/config-template.json - .claude/aidd-orchestrator.json skeleton.

Test

Each sub-flow's final action carries a ## Test block that exercises the full sub-flow with mocked dependencies.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the 00 Async Dev AI skill do?

Drive the async-dev pipeline from one entry point, whether setup, run, or review. Use when the user wants to install async dev, run a ready issue, or address PR review comments, or on a webhook trigger. Not for plain status checks.

Why use 00 Async Dev on TypingMind?

Because you install it once and use it with any model. 00 Async Dev is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 00 Async Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-orchestrator/skills/00-async-dev. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 00 Async Dev?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 00 Async Dev?

As many as you like. As long as a model supports skills, you can use 00 Async Dev with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 00 Async Dev AI skill free?

Yes. It is published on GitHub by ai-driven-dev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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