discover-edge-cases/SKILL.md
Diff-first (or full-repo) discovery of **reproducible** edge-case risks: boundaries, null/empty, failure paths, concurrency, observability; evidence via code/tests/runtime—**no edits, no new tests, no PRs**. For code-affecting scope, cross-check with **`discover-security-issues`** before final report. Use for edge-case review, hardening gaps, unusual inputs/error paths, pre-merge risk pass **STOP** implementation or “just fix it here”… BAD unproven alarm list… GOOD path:line + double repro…
npx skillsauth add laitszkin/apollo-toolkit discover-edge-casesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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discover-security-issues on code-affecting scope before finalizing the report (adversarial security pass).path:line, commands/inputs, test output, or runtime symptoms—no intent-only claims.Chain-of-thought: Answer Pause → each step; if scope is wrong, fix before probing.
git diff --name-only first.No actionable edge-case finding identified and stop.
Target high-risk patterns tied to scope:
Load as needed: references/architecture-edge-cases.md, references/code-edge-cases.md.
discover-security-issues on the same scope; integrate confirmed security items (do not duplicate as edge trivia unless distinct).Deliver: (1) Findings—title, severity, evidence, repro, broken invariant; (2) Edge evidence—preconditions, observation, variants; (3) Risk—impact/likelihood/scope; (4) Hardening guidance (advisory); (5) Residual risk—hypotheses, next checks.
references/architecture-edge-cases.md — system-level checklist.references/code-edge-cases.md — code-level input/error/concurrency checklist.development
Review a pull request — interactive PR selection via `gh`, 4-dimension code review (hallucinated code, architecture, performance, test validity), then post severity-graded comments with fix suggestions on the PR. Not for spec-based review — use `review` instead.
development
Read a user-specified PDF that marks the week's key financial events, deeply research each marked event with current sources, capture any additional breaking financial developments, and produce a concise Chinese-capable PDF briefing that explains what happened and why it matters.
documentation
Generate long-form videos (more than 10 minutes) by following user instructions and invoking related skills only when needed (`openai-text-to-image-storyboard`, `docs-to-voice`, `remotion-best-practices`). For text inputs, extract a complete long-form story arc, generate fresh storyboard images (no reuse of previously generated pictures), and render a 16:9 animated long-form video.
tools
協助完成自動化版本發佈。同步文檔、更新版本號、推送 tag 並建立 GitHub Release。