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Found 58 Skills
Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.
Verify changes follow nearest-scoped AGENTS.md rules: group changed files by nested scope, auto-fix formatting, run lint/tests, and report violations. Use when the user wants scoped compliance checks for changed files.
Babysit a GitHub pull request after creation by continuously polling CI checks/workflow runs, new review comments, and mergeability state until the PR is ready to merge (or merged/closed). Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and stop only when user help is required (for example CI infrastructure issues, exhausted flaky retries, or ambiguous/blocking situations). Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
Scan and normalize existing intent/planning files to IDD standard. Auto-fixes mechanical issues (frontmatter, directory structure), tags content issues for pickup. Use /intent-normalize to scan current project, or /intent-normalize <path> for specific directory.
Security Check - Security review for skills before installation. Triggers: Before installing new skills, regular review of installed skills, or when security issues with a skill are suspected. Security Checks: - Dangerous Commands: rm -rf, sudo, curl|bash, etc. - Network Requests: Potential data leakage risks - File Writes: Writing to sensitive locations - Credentials: Risk of API key/password leakage - Resource Exhaustion: Infinite loops - Privilege Escalation: Privilege escalation attempts - External Dependencies: Suspicious dependencies Commands: - /安检 <skill-path> - Review skill security - /安检 scan <path> - Deep scan - /安检 list - List risks of installed skills - /安检 fix <skill> - Fix security issues - /security <skill-path> - English command Actions: - Auto-fix: Remove or replace dangerous code - Disable: Disable dangerous features - User Confirm: User chooses whether to proceed - Block: Block installation for severe risks Capabilities: Static code analysis, dangerous pattern recognition, risk assessment, auto-fix, user interactive decision making.
ReactLynx best practices covering dual-thread architecture and React patterns. Provides rules reference for writing, static analysis for reviewing, and auto-fix for refactoring.
Run Vitest tests and parse results into actionable output. Use WHEN user needs to run JavaScript/TypeScript tests in a Vitest-configured project, verify test suites pass, or get structured failure reports. Use for "run tests", "vitest", "check if tests pass", or "test results". Do NOT use for Jest/Mocha projects, installing dependencies, writing new tests, or auto-fixing failing assertions.
[production-grade] Implements autonomous testing and self-healing workflow. After code generation, automatically runs tests (unit, integration, visual, E2E), detects bugs, attempts auto-fix, and continues development. Requires: Vitest, Playwright, Applitools, LLM access.
Run Salesforce Code Analyzer to scan code for security, performance, best practice, and code style violations. Supports all engines (PMD, ESLint, CPD, RetireJS, Flow, SFGE, ApexGuru), targets (files, folders, git diff), categories, and severities. Also handles post-scan exploration: filtering results by engine/severity/category/file, and explaining what specific rules mean. TRIGGER when: user says 'scan my code', 'check for security issues', 'run PMD/ESLint', 'find duplicates', 'analyze Flows', 'check vulnerable libraries', 'AppExchange review', 'lint my LWC', 'static analysis', 'code quality', 'show only security violations', 'what is this rule', 'explain ApexCRUDViolation', 'filter results', or mentions engines/file types (.cls, .trigger, .js, .flow-meta.xml). Use this skill for scanning, exploring results, understanding rules, and listing available rules. DO NOT TRIGGER when: user wants to fix code without scanning, or asks ONLY about installation/configuration.
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
Python linting with Ruff - an extremely fast linter written in Rust. Use when: (1) Standardizing code quality, (2) Fixing style warnings, (3) Enforcing rules in CI, (4) Replacing flake8/isort/pyupgrade/autoflake, (5) Configuring lint rules and suppressions.
Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.