.agents/skills/test-strategy/SKILL.md
Test strategy design, test writing guide, and coverage targets. Use when writing tests, designing test plans, setting up test infrastructure, or evaluating test quality. Provides patterns for unit, integration, E2E, and API testing.
npx skillsauth add avav25/ai-assets test-strategyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Systematic testing skill covering strategy, patterns, and quality gates. Produces consistent, maintainable test suites across tech stacks.
TESTING.md documentationrun-tests skill workflow instead)code-review skill)devops-engineer role)Follow the test pyramid for cost-effective coverage:
/ E2E \ Few — critical user journeys only
/----------\
/ Integration \ Moderate — API, DB, service boundaries
/----------------\
/ Unit Tests \ Many — fast, isolated, comprehensive
/--------------------\
| Layer | What to Test | Speed | Count | |---|---|---|---| | Unit | Pure logic, transformations, validators, utils | < 50ms | Many | | Integration | DB queries, API endpoints, service interactions | < 5s | Moderate | | E2E | Critical user journeys, happy paths, key flows | < 30s | Few |
should_return_404_when_user_not_found| Metric | Target | Hard Minimum | |---|---|---| | Line coverage | ≥ 80% | ≥ 60% | | Branch coverage | ≥ 75% | ≥ 50% | | Critical path coverage | 100% | 100% | | New code coverage | ≥ 90% | ≥ 80% |
Critical paths = authentication, authorization, payment, data mutations, error handling.
Projects should have a TESTING.md at the root (and per-service in monorepos) documenting test infrastructure, commands, credentials, and organization. Created by project-init skill using qa-engineer role. Always read TESTING.md before writing or running tests.
qa-engineer role (test strategy, automation, local test infra), software-engineer role (code quality)test-local skill (full local QA cycle), run-tests skill (lightweight execution), project-init skill (TESTING.md generation), feature-dev skill, bugfix skill, pre-commit skilltest-writing-guide.mdtemplates/testing.template.md (root + per-service TESTING.md templates)TESTING.md (root + per-service)development
Use this skill when running the recurring (daily) knowledge-base rescan for a repo that already has knowledge/.knowledge-sync.yml — the main-thread dispatcher that reads the config, computes the git delta since last_scanned_sha, maps changed paths to affected doc areas, early-exits cheaply when nothing changed, then fans out one Agent(content-writer) per affected area, applies the propose/direct update policy, advances the baseline only on success, and writes an L4 run log — all with the G1 untrusted-content choke-point, secret-scan, deny-list, and budget controls woven in. For first-time setup use /knowledge-sync-init.
development
Use this skill when bootstrapping scheduled knowledge-base sync for a repo that has no knowledge/.knowledge-sync.yml yet — to run one-time setup that detects the knowledge_root from CLAUDE.md/AGENTS.md, maps doc areas to source globs, records opt-in external sources (Linear/Notion/WebFetch, all disabled by default), captures a baseline last_scanned_sha, sets the per-area update policy, generates or seeds knowledge/CONVENTIONS.md, provisions the L4 memory dir, and offers to register the daily routine. Routes ongoing recurring sync operations to /knowledge-sync.
tools
Use this skill when bootstrapping a target repository to be ai-skills-aware — on the first run of any ai-skills workflow in a fresh repo, when adopting the ai-skills plugin in an existing repo, or after upgrading to a plugin version that adds new memory paths or templates, including when the user does not say "init" but asks to "set up" or "onboard" the repo — to detect codebase type, create CLAUDE.md + AGENTS.md scaffolding, initialize the .ai-skills-memory/ directory tree from L1 templates, and configure .gitignore. Idempotent — safe to re-run. Accepts `--codebase-type <type>` and `--overwrite`. Not for re-initializing only memory — use `/memory-init` instead.
tools
Use this skill when extending, repairing, or improving plugin assets, when ingesting a `/feedback` report as a fix-cycle backlog, or when you do not remember which lower-level command is right for the job — the umbrella workflow for ai-skills plugin-asset authoring and maintenance: creating, auditing, fixing, improving, refactoring, and migrating skills, agents, rules, hooks, prompts, schemas, and rubrics inside the plugin. Auto-classifies the request, loads the right knowledge skills (`@prompt-engineering`, `@context-engineering`, `@team-protocols`), and spawns the right subagents (`prompt-engineer`, `system-architect`, `python-engineer`, `software-engineer`, `qa-engineer`, `eval-judge`) via the `Agent` tool.