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Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.

日本語の概要は準備中です。原文の説明を表示しています。

Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.

日本語の概要は準備中です。原文の説明を表示しています。

Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.

日本語の概要は準備中です。原文の説明を表示しています。

Clinical copy-editor that reviews text for communication issues. Use when user says review for prose or improve the prose

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

日本語の概要は準備中です。原文の説明を表示しています。

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. 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.

日本語の概要は準備中です。原文の説明を表示しています。

Quality gate for agent-flow. Runs the repo's test, typecheck and lint commands in the issue worktree, re-runs failures once, reports raw output as JSON. Never modifies code. Use when launched with AGENT_FLOW_ROLE=qa after a review is approved.

日本語の概要は準備中です。原文の説明を表示しています。

Practical security review and hardening guidance for application code in Python, JavaScript/TypeScript, and Go. Use this skill whenever the user asks for a security review or audit, wants to harden authentication (password hashing, sessions, JWT, OAuth2/OIDC, MFA), fix OWASP Top 10 issues (injection, XSS, IDOR, CSRF, SSRF, deserialization), threat-model with STRIDE, clean up secrets and .env handling, or set up dependency scanning (pip-audit, npm audit, osv-scanner, gitleaks, SBOM). Also trigger for "make this secure", "is this safe to deploy", bcrypt/argon2id, rate limiting logins, RBAC/ABAC, CSP and security headers, cookie flags, and secure-by-default coding help.

日本語の概要は準備中です。原文の説明を表示しています。

Systematic testing methodology for exhaustive branch coverage, edge case identification, and production bug prevention. Use when PR review reveals incomplete test coverage, when tests pass but users report bugs, when code changes break existing features, when verifying all branches and edge cases before merge, when analyzing "it works on my machine" issues, when planning test strategy for new features, or when debugging flaky tests and race conditions.

日本語の概要は準備中です。原文の説明を表示しています。

Decompose an epic into atomic parallelizable tasks, route each to the right skill, and keep the four delivery records straight — issues, STATUS, ROADMAP, CHANGELOG. Use as a meta-router when several skills could apply, and as the baseline for how delivery state is recorded. Trigger at the start of any multi-track epic, when the skill count exceeds ~12, or when the records have drifted from reality.

日本語の概要は準備中です。原文の説明を表示しています。

Use when configuring or optimising GitHub repositories for cost-effective, consistent operations — CI triggers, Actions billing, issue tracking, labelling, branch protection, or release workflow.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose and fix CJK (Korean, Japanese, Chinese) text-wrapping issues in web UIs. Systematically traces mid-syllable breaks, orphaned glyphs, and awkward line splits through a layered fix strategy covering global CSS cascade, component-library overrides, headline balancing, and translation-level phrase binding. Produces an evidence-based diagnosis and verification report before any code change is applied.

日本語の概要は準備中です。原文の説明を表示しています。

Use when extracting Voice-of-Customer themes from existing artefacts — GH issues, PR threads, Sentry patterns. Triggers on 'what are users saying', 'recurring complaints', 'top themes'.

日本語の概要は準備中です。原文の説明を表示しています。

Use for deep Next.js analysis: server vs client boundaries, routing, data fetching, caching, rendering modes, and hydration/runtime issues.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing a README for accuracy, usability, and alignment with the actual repository. Detects invented content, broken setup steps, and structural issues.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user says "check Jira", "create ticket", "update issue", or needs JQL queries, ticket transitions, or branch-to-ticket linking.

日本語の概要は準備中です。原文の説明を表示しています。

Load this skill whenever you are planning, executing, or reviewing manual accessibility testing. Manual testing with real assistive technologies is essential — automated tools catch only ~30–40 % of WCAG issues. Absolutely always include keyboard-only testing and at least one screen reader test before marking a feature accessible. Under no circumstances skip forced colors mode testing for UI components.

日本語の概要は準備中です。原文の説明を表示しています。

[Workflow] Use when activating the Review Current Changes workflow for review, fix, and re-review recursively until all issues resolved.

日本語の概要は準備中です。原文の説明を表示しています。

[Documentation] Use when you need to detect codebase health issues: unused exports, doc count-drift, orphan files, stale config references.

日本語の概要は準備中です。原文の説明を表示しています。

[Code Quality] Use when you need to run linters and fix issues for backend or frontend.

日本語の概要は準備中です。原文の説明を表示しています。

Assesses the quality, composition, and usefulness of a lead list. Use when the user provides a lead list and wants completeness, distribution, quality issues, and recommended next actions.

日本語の概要は準備中です。原文の説明を表示しています。

Normalizes and improves the consistency of prospect-list data. Use when the user provides a messy prospect or lead export and wants standardized records, flagged issues, and a cleanup summary.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluate UI/flows from cognitive load, error prevention, and accessibility perspectives. Apply when reviewing UX, discussing user confusion, high drop-off, or form usability issues.

日本語の概要は準備中です。原文の説明を表示しています。

Run a Mixture of Experts (MoE) audit on any topic, plan, codebase, evidence archive, or process. Dynamically spawns specialized subagents with different critical lenses to cross-reference findings and detect flaws, overlap, retention issues, or drift. Use when designing architectures, analyzing complex code, verifying multi-step plans, classifying evidence artifacts, or looking for duplicated intent in a repo.

日本語の概要は準備中です。原文の説明を表示しています。