1,113 件 ・ 関連度順
概要と使いどころ
Use when scanning code for security vulnerabilities. Use when user says "scan security", "kiểm tra bảo mật", "security audit", "review security", or invokes `/vbs-scan-security`. Auto-delegates to sub-agents for large scans (>20 main-language files OR >30 total OR >14 days). Outputs bilingual reports (vi/en). Optional `--auto-fix` (agentic patch + verify loop) and `--sca` (live CVE lookup via OSV.dev).
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。
Prove that a reported run caused its intended real effect. Walk the executor path from entry to effect, capture one observable per hop, and report a result a no-op could not produce.
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。
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
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。
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
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。
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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。
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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。
Check Slack for important messages and activity. Use during daily planning or when user asks about Slack updates.
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。
Sync Jira issues with local tasks. Use during daily planning or when user asks about Jira 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。
Test-driven development - write failing test first, then minimal code. Use before implementing any feature or bugfix.
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。
Check Google Calendar for today's schedule. Use during daily planning or when user asks about their calendar.
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。
Sync new Granola meetings to local Knowledge folder. Use during daily planning, when user asks "what should I do today", or asks to review/sync meetings.
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。
Sync Linear issues with local tasks. Use during daily planning or when user asks about Linear 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。
Sync Jira issues with local tasks. Use during daily planning or when user asks about Jira 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。
Sync new Granola meetings to local Knowledge folder. Use during daily planning, when user asks "what should I do today", or asks to review/sync meetings.
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。
Check Google Calendar for today's schedule. Use during daily planning or when user asks about their calendar.
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。
Classify decisions as Hat/Haircut/Tattoo by reversibility. Use to calibrate how much analysis a decision deserves.
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。
Turn ideas into designs through collaborative dialogue. Use before any creative work - features, components, or modifications.
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。
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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。
Turns implementation work into working code, reviewed and verified. Use when the user delegates a feature, story, bug fix, or meaningful change; a bare story or issue link counts. Skip obvious, low-risk mechanical maintenance such as small ignore-file, typo-only, formatting-only, or configuration-hygiene edits. Explicit BMAD requests always qualify. Do not volunteer for user-directed interactive edits or version-control operations that only record existing work.
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。
Answers BMad questions and recommends the next skill from what is installed. Use when the user asks bmad for help, what to do next or where to start; to set up, update, repair, doctor, migrate or check the status of the installation, or add modules; or to see or change the active initiative.
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。
Review a finished epic folder in the ticket tree against the evidence it left behind — the epic file, each ticket plan, diffs, commits — and produce a retrospective with sourced findings, action items, and an acceptance decision. Use when the user says "run a retrospective" or "lets retro the epic [epic]". Supports -H/--headless
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。
Smithy the Toolsmith builds, converts, reviews, packages, validates and migrates BMad skills, agents and modules. Use when the user wants a skill, agent, persona, command or module made, changed, reviewed or packaged; a prompt or rule from another tool turned into a skill; a skill mined from session logs; an old module migrated; or asks for Smithy. Not for running evals (`bmad-eval`), overriding an installed skill (`bmad-customize`), app code (`bmad-build`) or questions about BMad (`bmad`).
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。
Orchestrates lively group discussions between installed BMAD agents or custom personas, and helps author custom parties. Use when the user requests party mode, a roundtable, or multiple agent perspectives — or wants to create/configure a party, define personas, or build an AI focus-group panel
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。
Set up, adopt, refresh, or audit a repository's agent instructions (the AGENTS.md block) so AI agents work well in that repo. Also records observed agent mistakes as pitfalls. Use when invoked by name
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。