Loading...
Loading...
Found 19 Skills
Use this skill at the BEGINNING of any detailed review for consistent structure. Use when starting any detailed review workflow, needing consistent structure for capturing context and findings, ensuring comparable review outputs. Do not use when quick catchup without formal review - use catchup. DO NOT use when: diff-focused analysis - use diff-analysis.
Use this skill to quickly understand "what changed and what matters". Use when resuming work after absence, preparing handoff documentation, reviewing sprint progress, analyzing git history for context. Do not use when doing detailed diff analysis - use diff-analysis instead. DO NOT use when: full code review needed - use review-core instead.
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.
Git workflow helper for conventional commits, confidence-scored code review, and pull request management. Use when: committing changes, reviewing code, creating PRs, generating PR descriptions, analyzing diffs. Triggers on "commit", "review", "push", "create PR", "PR description", "summarize changes".
Run OpenAI Codex CLI as an independent reviewer over the current branch, a specific commit, or uncommitted changes. Builds a focused instruction file from the real diff and returns a compact review summary.
Run a Meticulous session simulation against a live URL and analyze the visual output — either by inspecting screenshots directly (quick-check mode) or by comparing pixel and HTML diffs against a base replay. Use when checking whether a code change has introduced visual regressions for a specific session.
Use when creating or revising model PR optimization history documents for SGLang, vLLM, or another serving framework that cite GitHub PRs. Requires manual, per-PR source-diff review and documentation of motivation, key implementation approach, most important code excerpts, reviewed files, and validation implications instead of generated or one-line summaries.
Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.
Review the diff between the current branch and main as a senior developer. Analyzes architecture, coding standards, security, performance, and correctness. Use when user says 'review my code', 'pre-PR review', 'review diff', 'code review before PR', 'check my changes', or 'senior review'. Do NOT use for only running tests (use a test skill), only linting (use a lint skill), or full PR preparation (use create-pr).
Use this skill whenever performing security threat modeling, attack surface mapping, or trust boundary analysis on a codebase. Triggers on 'threat model', 'security review', 'attack surface', 'trust boundaries', or when assessing a project's security posture. Also trigger when the user is about to build security-sensitive features (auth, crypto, file I/O, network services, native bridges) and needs to understand the threat landscape first — even if they don't explicitly say "threat model." Also triggers on 'what changed' or 'diff analysis' for incremental security review of recent commits.