Use when the user wants to convert Markdown to DOCX, make a Microsoft Word version of a Markdown file, style Word output with a reference template, fix DOCX callouts, or customize the bundled Word template for notes, reports, and review docs.

description: Run the project’s quality gates, map results to spec acceptance criteria, and produce verification_report.json with evidence and severities.

Danger JS automates pull request review chores by running programmable checks inside CI and posting structured feedback back to GitHub, GitLab, and other code hosts. It is a strong fit for teams that want to turn review conventions into repeatable checks instead of relying on humans to catch the same issues every time.

Operate the `first-tree gardener` CLI — an automated maintenance agent that responds to reviewer feedback on Context Tree sync PRs, posts structured verdict comments on source-repo PRs/issues, and (push mode) installs a GitHub Actions workflow that replaces the long-running gardener service with event-driven per-PR sync. Use whenever a task involves reviewing, responding to, or resolving feedback on tree sync PRs, gating source-repo PRs/issues against a Context Tree, or setting up automatic tree-issue creation from a codebase's CI.

Review Vue 3 code for Composition API, reactivity, components, state (Pinia), routing, and performance. Framework-only atomic skill; output is a findings list.

Comprehensive TLA+ specification review with checklist and automated validation

learning-path-creator

cash-on-cash-calculator

This rule ensures the AI provides links to the real files instead of placeholder names like x.md.

Review all prototypes at once for cross-prototype consistency, coverage gaps, ADR follow-through, and scope discipline. Use for a full audit of all prototypes.

vehicle-lifecycle-management

Unified health dashboard + consolidation cycle

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Draft, review, and update Software Design Descriptions using an IEEE 1016-2009-inspired structure with explicit architecture/views/elements formalization and output structure validation. Use this whenever a user asks to write an SDD, assess SDD quality/completeness, align design docs to IEEE 1016 concepts, map PRD requirements to design, produce architecture/interface/data design sections, generate remediation-oriented gap reports, perform SDD review-only gap analysis, check whether an SDD has drifted from the codebase, or update an SDD after architecture changes.

Adversarial PRD review using 5 specialized subagent personas. Probes for ambiguities, hidden complexity, and untestable requirements before execution begins. Use when: user says 'review this PRD', 'critique this spec', 'is this PRD ready', 'adversarial review', or when /prd-writer invokes it at Step 7. Also trigger when user shares an existing PRD and asks if it's implementation-ready.

Audit and tidy OpenClaw cron schedules for duplicate jobs, conflicting times, and unclear naming. Use when users ask to review existing automations, reduce noisy schedules, or standardize cron job setup.

Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing, multi-image input (up to 14 images), Google Search grounding. Triggers: nano banana 2, nanobanana 2, gemini 3.1 flash image, gemini 3 1 flash image preview, google image generation

A disciplined workflow for working a queue of bug reports. One bug at a time. No skipping steps. No batching.

Dispatch fix subagent for FIX-FIRST gaps from /review, re-review, and escalate after 2 failed loops.

Orchestrate subsystem-by-subsystem project hardening by combining brutal-project-review and task-worker in a strict loop: review one subsystem, create CRITICAL/MAJOR tasks, run all tasks to completion, then move to the next subsystem. Continue full review/task passes until a complete pass finds no new CRITICAL/MAJOR issues. Use when the user wants both deep subsystem review and autonomous task execution with no instruction loss.

Evidence-based code review for diffs, PRs, and commits using P0-P3 severity. Finds actionable defects in changed code (security, correctness, reliability) and avoids style-only feedback.

license-compliance

Safe deployment steps and verification.

트리거: Main 스레드에서 라운드 승인/보류 판단, 다음 handoff 1건 확정, Main->Executor 릴레이 생성이 필요할 때 사용. 비트리거: 코드 구현/테스트 실행이 필요한 실행 작업에는 사용하지 않는다.

Address PR review comments by applying fixes locally. Fetches review comments via GitHub API, evaluates each one, applies fixes where appropriate, and generates a report. Use when the user asks to fix PR comments, address PR feedback, or handle PR review suggestions.

'Python programmer specialising in functional programming, clean code, documentation, and code quality using ruff and uv.'

salary-cap-analyzer

pet-adoption-program

llm-latency-optimizer

beauty-influencer-kit

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Enforce Repo A DDC policy and acceptance gates before PRs. Use when changing policy files, node runtime behavior, guardrail-sensitive config, or validation tooling that must satisfy AGENTS.md acceptance commands.

contract-lifecycle-manager

Code review local changes

Weekly health review — sleep trends, workout adherence across wger/Fitbod/Peloton, nutrition averages, and recovery analysis.

Code review from a fresh context. Run in a separate session — no knowledge of implementation decisions.

You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an academic audience.

dairy-operations

pet-sitting-guide

Review a GitLab MR or GitHub PR

Auto-detects the active QML file from editor context, runs qmlscene, and copies the rendered image to the clipboard by default. Invoke proactively when the agent needs to preview or visually verify a QML UI.

Performs comprehensive security and performance audits of codebases, identifying vulnerabilities, unsafe patterns, security weaknesses, and performance bottlenecks. Use this skill when the user requests a security assessment, penetration testing analysis, vulnerability scan, or performance review of their code. Generates detailed, actionable reports with severity classifications and remediation guidance.

Check Memeya's USDC reward wallet balance, view distribution history, and manually trigger reward payouts.

Reviews an existing AI agent (or agent design) against all 22 patterns from "Patterns for Building AI Agents" (Bhagwat & Gienow, 2025). Produces a scored checklist with specific recommendations for im

Handles git and GitHub operations using the gh CLI. Use when the user asks about pull requests (PRs), GitHub issues, repo management, branching, merging, rebasing, cherry-picking, merge conflict resolution, commit history cleanup, pre-commit hook debugging, GitHub Actions workflows, or releases. Covers creating and reviewing PRs, watching CI checks, interactive rebasing, branch cleanup, submodule management, and repository archaeology with git log/blame/bisect.

Review SPARK Python and Go code for readability, safety, and consistency with project conventions. Use when examining changes under core/, agents/, or scraper.go.

Safe refactoring with test guard — improve code quality without changing behavior

Conventional commits, PR creation, and quality gate verification