Delegate writing predictable code to the `code-write` command, which has a cheaper writer model write the target file directly so the generated code never enters your context. Use for tests, scaffolding, fixtures, boilerplate, or a new file that copies an existing pattern, and when the user says "code write", "生成を委譲", or "雛形を書かせて". Do NOT use for design decisions, changes to public contracts or shared modules, edits inside an existing file that needs judgment, or logic with subtle correctness requirements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Ynakatsuka/dotfiles☆ 42026년 10월 20일 업데이트
Evaluate an interface from a UX perspective, assessing hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with evidence-linked judgments and actionable feedback. Use when the user wants an overall design or UX review—not when the main need is measurable accessibility/performance diagnosis, or final micro-detail polish.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aladicf/better-react-web-ui☆ 42026년 9월 8일 업데이트
Autonomous themed tech-debt cleanup. Reads docs/architecture/debt-ledger.yml, rotates to the least-recently-served debt theme, works it for a time budget (default 2h) or until drained, opens one PR, and asks judgment questions inline at the end. Use for daily debt burndown without Peter pointing at a target: grandfathered analyzer rules, architecture-test baselines, obsolete-field reads, cross-section stitching.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
nobodies-collective/Humans☆ 42026년 10월 20일 업데이트
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ibragimov-oasis/vibe-coder☆ 32026년 6월 24일 업데이트
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For diagnostic reasoning, treatment decisions, and clinical judgment improvement. NOT for basic medical knowledge, technical procedures, or non-clinical healthcare domains.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Analyze repeated non-engagement, deflection, motte-and-bailey shifts, tone policing, sealioning, and related manipulative discourse patterns. Use when the user suspects they are being rhetorically managed rather than answered, or when they need a careful pattern read grounded in quotes and alternatives. NOT for psychiatric diagnosis, legal judgment, or help deploying bad-faith tactics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Delegate a read-only Coval evaluation, simulation, monitoring, product-how-to, or troubleshooting subtask to Sofia through the official Coval MCP consult_sofia tool. Use when the user needs Coval-specific FDE judgment, analysis of organization data, metric or test-set recommendations, or a diagnosis grounded in Coval runs and conversations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
coval-ai/coval-external-skills☆ 32026년 9월 16일 업데이트
Lean, sharp UI posture — the everyday default for building or redesigning a UI. Use when asked to build or make a page, panel, list, form, or dashboard good, cleaner, or nicer, or for a fast confident refresh where the agent uses its judgment instead of asking for a spec.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
armanisadeghi/ai-matrx☆ 32026년 10월 20일 업데이트
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
sayasaya8039/ZWG_Terminal☆ 22026년 6월 8일 업데이트
Guardian Angel gives AI agents a moral conscience rooted in Thomistic virtue ethics. Rather than relying solely on rule lists, it cultivates stable virtuous dispositions— prudence, justice, fortitude, temperance—that guide every interaction. The foundation is caritas: willing the good of the person you serve. From this flow the cardinal virtues as practical habits of right action and sound judgment. v3.0 introduced virtue-based disposition as the primary evaluation layer, providing deeper coherence than checklists alone. The agent's character becomes the safeguard. v3.1 adds: Plugin enforcement layer with before_tool_call hooks, approval workflows for ambiguous cases, and protections for sensitive infrastructure actions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aAAaqwq/openclaw-team☆ 22026년 6월 18일 업데이트