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Found 4,882 Skills
PeachSolution 신규 모듈 개발을 조율하는 통합 팀 스킬. 준비된 DB 스키마와 Spec, ui-proto 기반 표준 모드 + Spec만 모드 + 자연어 prompt 모드를 지원. "팀으로 만들어줘", "풀스택 개발", "팀 개발", "백엔드+UI 전체 생성", "버그 수정해줘", "이 화면에 X 추가해줘", "API와 화면 같이 만들어줘", "백엔드만 만들어줘", "API만 만들어줘", "UI만 추가" 키워드로 트리거. mode=backend(API+Store) | ui(UI만) | fullstack(전체) 지원하며, mode/proto 없이 자연어 입력만으로도 즉흥적 버그 수정·기능 추가 가능. 대규모 작업은 기능 큐와 Contract Gate로 1차 완성도를 높이는 방향을 따른다. peach-team-e2e와 함께 하나의 개발-검증 납품 흐름을 이루되, E2E 검증 독립성은 유지한다. 팀 실행 방식은 요청 범위와 런타임 도구 가용성을 분석해 single-agent / role-queue / agent-team 중 선택한다. 기존 팀 개발 스킬의 개발 조율 역할을 대체하며, DB 생성은 peach-gen-db 선행 단계로 분리한다.
Save a live webpage as a high-fidelity PDF that preserves the original layout AND every image (including lazy-loaded ones) using the agent-browser CLI. Use this whenever the user asks to "download this page as PDF", "save this article", "archive this URL", "fetch this page for reference", or otherwise wants a local PDF of a web page that looks like the browser version. Especially important on modern JS-heavy sites (engineering blogs, Next.js sites, anything with IntersectionObserver lazy loading) where naive `chrome --headless --print-to-pdf` or a bare `agent-browser pdf` produces blank rectangles or broken-image placeholders. Trigger this skill even when the user does not name the tool - any request to capture a webpage's full visual content as a PDF on disk should pull this in. For reader-mode/article-only output (no nav, no footer, no manual trimming) prefer percollate instead - see "When NOT to use this".
Directly use the Runway API from the agent to generate media, manage resources, and inspect account state
Make and receive private payments on Solana via VeilPay. Use when an agent needs to send funds without an on-chain link between sender and recipient, generate shareable payment links, claim incoming payments, perform confidential transfers, or query encrypted balances. Powered by the Umbra ZK shielded pool on Solana mainnet.
Use when an agent reports a discovered task via Nexus, to review, approve as official task, reject, or escalate to idea
Use when work is validated and ready to submit, to push to main and create PR for agent review
Use when a PR has reviews and is ready for final validation, to verify minimum 3 different agents reviewed and no critical concerns were raised before merging
Context scoping for writing agent spawns — use when deciding what context a spawned agent should receive, whether ephemeral story decisions should be materialized before handoff, and how much to pass. Poor context handoffs cause writers to invent contradictions and critics to miss relevant history.
Optimize and structure context for agents and LLMs by reducing noise, prioritizing relevance, organizing memory, defining constraints, and managing token budgets.
Write, rewrite, or normalize structured `*.spec.md` specification files for agent-driven development. Use this whenever the user asks for a spec, requirements, acceptance criteria, implementation-ready documentation, feature definition before coding, or wants an existing idea/codebase turned into an actionable spec, even if they do not explicitly say "spec".
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
Use when the user wants to author, refine, or audit a Product Requirements Document for AI coding agents. Walks through an 8-phase pipeline (Socratic discovery → PRD draft → acceptance criteria → adversarial review → task decomposition → AI-readiness gate → test generation → handoff). Triggers on "write a PRD", "spec this feature", "draft requirements", "prepare X for Claude/Cursor/Copilot/Windsurf/Aider to build", "audit my PRD", "is this PRD AI-ready", "score this spec".