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Help users master the art of making high-stakes, irreversible decisions by using structured frameworks to reduce cognitive bias and maintain organizational momentum.

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。

Help users deliver high-impact feedback that drives behavior change while maintaining strong relationships and psychological safety through proven frameworks like GAIN and Radical Candor.

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。

Help users interact with probabilistic models by designing interfaces that manage fluidity, intent, and agency while maintaining trust and control.

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。

Help users establish high-impact goals that bridge the gap between abstract company vision and daily execution while maintaining radical focus.

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。

Help users understand the core mechanics of marketplace businesses, from solving the cold start problem to maintaining quality and preventing platform leakage at scale.

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 writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.

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。

Behavioral guardrails for Codex coding work based on common user complaints. Use when Codex is asked to implement, modify, debug, review, test, or operate on a codebase and should avoid unsafe scope expansion, stale edits, fake completion, brittle edits, shallow debugging, superficial patch-on fixes, one-off special-case code, short-term design choices that hurt maintainability, blindly following incorrect user assumptions, poor dependency choices, generic product or UI output, over-mocked tests, noisy approvals, verbose status reports, or leaking internal reasoning into project artifacts or user-facing UI.

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 opening the formal release vote for a Struts release candidate on any maintenance line (6.x, 7.x) - composing and drafting the [VOTE] Apache Struts X.Y.Z mail to dev@ once the Version Notes page, GitHub release and staged artifacts are published.

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 running or planning an Apache Struts release on any maintenance line (6.x, 7.x) - cutting the tag, staging artifacts, opening the vote, promoting, updating the site and announcing - or when asked what the next step in a release is.

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 preparing, updating, or reviewing the release documentation for a Struts release or release candidate on any maintenance line (6.x, 7.x) - the Version Notes page on the cwiki, its Migration Guide entry, the GitHub release notes, and the test-build announcement mail.

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。

Remove image backgrounds with the remove.bg API and check remaining credits. Trigger phrases: remove.bg, remove background, cutout image.

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。

Control a Klipper 3D printer through Moonraker: print jobs, file uploads, emergency stop, smart plugs, and gated raw G-code. Trigger phrases: moonraker, klipper, mainsail, fluidd, start print, pause print, emergency stop.

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。

Maintain the official OpenMeld Changelog from repository evidence. Use when deciding whether a change needs a Changelog entry, writing or publishing an entry, preparing release notes, validating generated Changelog files, or historically backfilling missing changes.

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Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

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Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, mid-build deviations from the plan need capturing, or a finished change needs buy-in or verified understanding before merge. Pairs with [write-spec](../write-spec/SKILL.md) — walk the quadrants to burn off fog before slicing, and feed the finished map into the spec.

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。

Implement an existing spec through committed passes. Use for long or multi-pass specs that need maintenance checkpoints to periodically clean code, handoffs, priorities, and plan bloat before drift accumulates.

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。

Audit whether tests earn their maintenance cost and which suite owns each contract. Use when pruning redundant tests, investigating implementation coupling or test-only production hooks, reviewing the value of proposed coverage, or auditing an entire subsystem. Use write-tests to implement the resulting test changes.

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Scan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.

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。

Intent-based search router with trust scoring. Routes queries to optimal channels (Context7 docs, native web search, gh/glab code search, Serena local) and attaches domain trust labels. Use for search, find, lookup, reference, docs, code search, and web research.

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。

Context-aware translation that preserves tone, style, and natural word order. Use when translating UI strings, documentation, marketing copy, or any multilingual content. Infers register, domain, and style from the source text and surrounding codebase context.

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 documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.

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。

Detect business logic vulnerabilities in a codebase using a three-phase approach: threat modeling (domain analysis and attack scenarios), batched verify (check exploitable gaps in parallel subagents, 3 scenarios each), and merge (consolidate batch results). Covers price manipulation, workflow bypass, limit violations, race conditions, reward abuse, etc. Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/businesslogic-results.md. Use when asked to find business logic, logic flaws, or abuse-of-function bugs.

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 end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

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。

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

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。