50건(fabricioctelles의 저장소) · 인기순
Sub-skill: Implement Personal Agent Protocol (Poppy) discovery. Publish /.well-known/poppy.json (draft 0.1) and validate its OAuth issuer binding. Informational check; does not affect level or score.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Edit English prose to remove repetitive AI phrasing, inflated language, and mechanical structure while preserving meaning and the author's voice. Use for requests to humanize, de-slop, rewrite naturally, or fix tone. Also compose from the author's English notes or transcripts and ask targeted questions when real details are missing. For Brazilian Portuguese, use the companion humanizar skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Runs security audits on codebases — full scans, diff reviews, threat models, vulnerability triage, remediation guidance, and finding tracking. Activate when the user says "security scan", "audit this repo", "review this PR for security", "threat model", "triage vulnerabilities", "fix this vuln", or "track findings".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automated iterative agent runner for spec-based development in Kiro. Wraps kiro-cli in a self-correcting bash loop that picks up tasks from a Kiro spec, implements them one at a time, verifies against exit criteria, and accumulates corrections and codebase patterns across iterations. Use this skill when the user mentions "ralph loop", "ralph", "spec loop", "iterative spec runner", "run my spec tasks automatically", "kiro spec automation", "self-correcting agent loop", "implement spec tasks in a loop", "run kiro-cli in a loop", "automated task implementation", or wants to drive a Kiro spec to completion through repeated agent iterations. Also use when the user wants to set up, configure, troubleshoot, or understand the Ralph Loop workflow — including progress tracking, corrections, codebase patterns, timing logs, and the summary dashboard.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Este skill deve ser usado para reescrever currículos com foco em compatibilidade ATS e impacto para recrutadores, e/ou auditar perfis LinkedIn para maximizar visibilidade e conversão profissional. Acionar em pedidos de otimização de currículo, melhoria para ATS, reescrita profissional do CV, adaptação para vaga-alvo, auditoria de compatibilidade ATS, aumento de taxa de entrevista, auditoria de perfil LinkedIn, otimização de headline/about/experiências LinkedIn, análise de SSI, ou alinhamento CV+LinkedIn.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design well-structured agent loops with best-practice coaching and cross-model review gates before you run them. Use when the user wants to design, build, or set up an agent loop, iterative agent workflow, self-review loop, LLM-as-judge loop, multi-model council, reviewer/judge gate, or goal-driven looping process. Guides goal refinement, typed verification criteria, reviewer/judge selection, privacy boundaries, termination guards, and observability, then emits a RUN_IN_SESSION.md handoff prompt plus portable loop.yaml, loop.resolved.json, LOOP.md, and run-loop.py.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Evaluate any agent skill against a merged framework — Anthropic's Claude Code best practices plus Matt Pocock's writing-great-skills methodology — across 4 axes (Trigger, Structure, Steering, Pruning). Produces an evidence-cited scorecard (0–100), a weighted overall score, and diagnosed failure modes with prioritized fixes. Use when the user asks to evaluate, rate, or audit a skill ("evaluate this skill", "skill scorecard", "review SKILL.md"), or to compare two skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill: Implement DNS-AID records so agents discover endpoints through DNS. Use SVCB/HTTPS records under _agents namespace with alpn and connection parameters.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement Link Response Headers
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement llms.txt
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill: Scan any URL for agent readiness. Checks 22 standards across 5 categories, returns readiness level (0-5), status of all checks, and fix instructions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement MCP Server Card
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate, validate, and explain `auth.md` files — the open protocol for AI agent registration. Use when making apps agent-ready, generating Protected Resource Metadata (RFC 9728), validating auth.md files, or implementing agent registration endpoints. Triggers on "auth.md", "agent registration", "agent auth", "make my app agent-ready", "ID-JAG", "identity_assertion", "service_auth", "protected resource metadata", "agentic registration".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement robots.txt
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement WebMCP
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement x402 Payment Protocol
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Edit English prose to remove repetitive AI phrasing, inflated language, and mechanical structure while preserving facts, meaning, and the author's voice. Use for requests to de-slop, humanize, rewrite naturally, fix tone, or review generic English drafts. Also compose from the author's English notes or transcripts and ask targeted questions when real details are missing. For Brazilian Portuguese, use the bundled humanizar skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write and edit Brazilian Portuguese prose with natural rhythm and the author's voice while preserving facts, meaning, and intent. Use for PT-BR requests to humanizar, tirar cara de IA, remover AI slop, reescrever com voz, simplify language, or write a post, email, article, or bio. Also use the author's notes or transcripts and ask targeted questions when essential facts are missing. For English text, use the bundled human-ai skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sub-skill de agent-ready-cloudflare: Implement OAuth Protected Resource Metadata
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Objectively evaluate a UI/web design against the pols.dev anti-slop design law: detect catalogued slop tells with cited evidence, score 8 weighted axes (color, type, components, layout, motion, execution, signature, cohesion), and emit a Slop Report with a 0–100 Slop Index and grade. Use when the user asks to "evaluate design slop", "slop report", "is this design AI slop", "audit this landing page design", "de-slop review", or wants an objective score of how generic/machine-made a design looks. To fix text (not design), use human-ai or humanizar skills instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reescreve textos em português brasileiro para soarem mais humanos e naturais, reduzindo padrões típicos de escrita gerada por IA sem alterar fatos, argumento ou intenção. Use quando o texto em PT-BR parecer genérico, burocrático ou gerado por IA, ou quando o usuário pedir para "humanizar", "dar vida", "tirar cara de IA", "remover AI slop" ou "reescrever com voz". Use também para ESCREVER DO ZERO em português qualquer texto que uma pessoa vai assinar ou publicar (post, artigo, e-mail, proposta, release, README, bio, descrição de produto): nesse caso a lista de padrões funciona como filtro de saída. Para textos em inglês, use a skill-irmã `human-ai`. Também trabalha a partir de notas e transcrições do autor e faz perguntas pontuais quando faltam dados essenciais.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Produce a short motion-graphics video ad — a 15s Facebook/Instagram/TikTok spot — as a rendered MP4. Researches the destination landing page so every on-screen claim matches it, pulls real product imagery off the live site, animates one paused GSAP timeline in a single HTML page, and renders it frame-accurately through Playwright and ffmpeg. Use this whenever the user wants a video ad, promo video, animated ad, "an ad for my product", Meta/TikTok/Reels creative in video form, a 9:16 or 1:1 cut of an existing spot, or a re-render of an earlier ad with a different hook, hero or CTA — including when they never say the words "motion graphics". Not for animating UI inside an app, not for static image ads, and not for long-form or voiceover-led video.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit, score, and compare repositories containing portable Agent Plugins against the official Agent Plugins specification. Use when asked to review a plugin repo, check plugin.json or mcp.json conformance, assess bundled skills and MCP servers, produce an evidence-cited 0–100 plugin scorecard, identify release blockers, or compare two agent plugins side by side.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.