agent-communication
AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to…
AI DevKit · Testing phase guidance for adding and validating feature test coverage. Use when the user wants to write tests, update testing docs, run coverage, close coverage gaps, or run dev-lifecycle phase 8.
$ npx -y skills add codeaholicguy/ai-devkit --skill dev-testing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dev-testingContext preview
The summary Claude sees to decide when to auto-load this skill.
AI DevKit · Testing phase guidance for adding and validating feature test coverage. Use when the user wants to write tests, update testing docs, run coverage, close coverage gaps, or run dev-lifecycle phase 8.
name: dev-testing description: AI DevKit · Testing phase guidance for adding and validating feature test coverage. Use when the user wants to write tests, update testing docs, run coverage, close coverage gaps, or run dev-lifecycle phase 8.
Run testing work for configured AI docs features. Before changing docs or code, propose the concrete plan for this phase and wait for user approval unless the user already approved the exact phase plan.
1. Run `npx ai-devkit@latest lint` before phase work. 2. If working on a named feature, run `npx ai-devkit@latest lint --feature <name>`. 3. Read the testing doc, requirements, design, implementation notes, and current diff before changes. 4. Apply the `verify` skill before making coverage or test-pass claims. 5. If parent `dev-lifecycle` established usable task tracing, emit testing phase, next-action, and evidence events per `task`.
Use for Phase 8.
1. Run `npx ai-devkit@latest lint --feature <name>` and reference the testing doc path it validates. If manual path resolution is unavoidable, first resolve `.ai-devkit.json` `paths.docs`, falling back to `docs/ai`. 2. Gather context: feature name, changes summary, environment, existing test suites, flaky tests to avoid. 3. Analyze the testing template, success criteria, edge cases, available mocks, and fixtures. 4. Add unit tests for happy paths, edge cases, and error handling for each module. Highlight missing branches. 5. Add integration tests for critical cross-component flows, setup/teardown, and boundary/failure cases. 6. Run coverage tooling, identify gaps, and suggest additional tests if below the target. 7. If task tracing is available, record evidence for each fresh test/coverage command per `task`. 8. Update the selected testing doc with test file links and results.
Next: `dev-review`. If tests reveal design flaws, return to `dev-design`.
The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent
Repo: codeaholicguy/ai-devkit
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