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Found 4,160 Skills
Read all unresolved GitHub PR comments from trusted authors and address or resolve them appropriately.
Fix failing CI checks and GitHub Actions on a Pull Request.
Address all outstanding issues on a GitHub Pull Request by handling both review comments and failing CI checks.
Create a plan collaboratively with the user, then convert the approved plan into a GitHub issue.
Sync local skills and references from the GitHub repo. Triggers on update skills, sync skills, 更新技能, 同步技能
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Use this skill whenever the user mentions changelogs, release notes, version updates, "what changed", product updates, app store descriptions, or needs to summarize recent development work for non-technical audiences.
Review code changes for correctness, security, and maintainability. Supports local git diffs (staged or working tree) and remote Pull Requests (by ID or URL). Use when the user asks to review code, check a PR, audit changes, or wants feedback on code quality before merging.
Resolve git merge, rebase, or cherry-pick conflicts via a structural-merge cascade — mergiraf (AST-aware auto-resolve) → git rerere (replay remembered fixes) → kdiff3 (manual fallback). Use when conflicts exist and the user wants them resolved — phrases like "melt the conflicts", "fix the merge conflicts", "resolve the rebase conflicts", "what's conflicting after the merge", "/melt", "fix the cherry-pick", or any prompt that surfaces `<<<<<<<` markers, `CONFLICT (...)` git output, or a half-finished merge state. Use even when only one file is conflicting if the user wants the structural pass attempted before manual editing. Do NOT use for general git operations without conflicts. After `/cook` or `/cure` if a merge step blocked them; before retrying the gate that surfaced the conflict.
Environment preflight checks and initialization. Probes and installs git, gh, node, vercel, firebase-tools, and gitleaks. Verifies .nvmrc, .gitignore, and Git Flow develop branch setup, and enforces the Secret Vault Policy.
Use when generating performance hypotheses backed by git history and code evidence.
Turn a vague bug report into a VERIFIED minimal reproduction and then a failing regression test, agent-driven end to end. Covers extracting the implicit repro from a thin report (env, build, steps, data), the reproduce-minimize-isolate-capture loop, git bisect to find the introducing commit, building a deterministic minimal repro (fixed seeds, frozen time, stubbed network), writing the failing regression test BEFORE the fix (red) and confirming the fix flips it green, and writing repro evidence back into the ticket. Distinguishes flaky-not-reproducible from environment-specific. Use when: "reproduce this bug," "minimal reproduction," "repro steps," "find the commit that broke it," "git bisect," "make the repro deterministic," "write a failing test for this bug," "regression test for a defect," "can't reproduce this bug." Not for: Classifying/deduplicating/severity-routing existing failures without reproducing them — that is ai-bug-triage. Generating tests from specs rather than from a defect — that is ai-test-generation. Related: ai-bug-triage, ai-test-generation, test-reliability, systematic-debugging, qa-project-context.
Generate AI avatar and digital persona video prompts for Seedance 2.0 on Higgsfield. Use for virtual spokesperson content, digital twin videos, AI presenter clips, avatar-based marketing, virtual influencer content, or any video featuring a digital/AI-generated character as the main subject. Triggers on avatar, digital persona, virtual presenter, AI character, digital twin, virtual influencer, synthetic media, animated spokesperson.