audit-memory
Audit Claude's saved memories for claims that no longer hold true — verify each against current code, PRs and tickets, then…
Investigate and fix flaky or intermittently-failing tests in any framework and CI system — detects the framework, CI provider, and app profile, then applies the matching classification and fix patterns. Triggers on a flaky-test issue or CI URL, a test that "passes on retry" or
$ npx -y skills add intercom/2x-skills --skill fix-flaky-tests --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/fix-flaky-testsContext preview
The summary Claude sees to decide when to auto-load this skill.
Investigate and fix flaky or intermittently-failing tests in any framework and CI system — detects the framework, CI provider, and app profile, then applies the matching classification and fix patterns. Triggers on a flaky-test issue or CI URL, a test that "passes on retry" or
name: fix-flaky-tests description: Investigate and fix flaky or intermittently-failing tests in any framework and CI system — detects the framework, CI provider, and app profile, then applies the matching classification and fix patterns. Triggers on a flaky-test issue or CI URL, a test that "passes on retry" or "fails in CI but passes locally", a bot that skipped a test, or a request to reopen or dispute the closure or diagnosis of a flaky-test issue (for that case open the issue first; its title or label confirms scope even when the prompt has no flaky-test keywords). allowed-tools: Bash Read Grep Glob Edit Write Skill
Reference guide for investigating and fixing flaky tests across frameworks (RSpec, Jest, pytest, Go test, …), CI systems (Buildkite, CircleCI, GitHub Actions, …), and apps. The methodology is universal; framework idioms, CI log-fetch procedures, and app-specific flake catalogues are loaded on demand via **progressive discovery**. Compose the workflow to the situation rather than following rigid steps.
<HARD-RULES>
</HARD-RULES>
One of:
**Disputed or already-closed issues — re-derive, don't trust the close.** Treat any existing investigation or closing comment as a hypothesis, not a finding — re-establish the root cause from the actual CI logs (the HARD GATE below applies regardless of what the comment claims). Closing comments are frequently plausible-but-wrong: they cite a mechanism that doesn't match the real backtrace, or apply the infrastructure fast-exit ("a shared dependency was briefly down → no code fix") to a build where only **one** test failed. A single-example failure is the opposite of build-wide infra evidence — it usually means that one test is uniquely fragile: e.g. a strict assertion on a process-global sink (an error reporter, a metrics client) with no pass-through fallback, tripped by a benign *handled* report emitted by unrelated setup during the same example. That is a fixable code-side bug owned by the test's source team, not an infra ticket. If you reopen, correct the routing to that owning team.
Before classifying anything, detect the stack so the right knowledge loads. Run the detection in **`references/discovery.md`** — it covers three tiers:
1. **Test framework** (from `Gemfile`/`package.json`/`pyproject.toml`/`go.mod` + test dirs) → load `references/frameworks/<framework>.md`. Only `rspec.md` ships fully fleshed; others fall back to `references/classification-generic.md` + `frameworks/_template.md`. 2. **CI provider** (from `.buildkite/`/`.circleci/`/`.github/workflows/`) → load `references/ci/<provider>.md` for how to fetch logs. Only `buildkite.md` ships fully fleshed; others use `ci/_template.md`, but the HARD GATE below still applies. 3. **App profile** (from `git remote get-url origin`) → load `refe
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