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Skills dans ce dépôt
SkillsMP a collecté 5 252 skills depuis TuYv/ccpm. Ouvrez un skill pour examiner sa source et ses détails.
TuYv/ccpmAffichage de 40 skills collectés sur 5 252.
Run a user story mapping workshop with adaptive questions and a structured map output. Use when you need backbone activities, tasks, and release slices for a workflow.
Langue du texte source : anglais
Create user stories with Mike Cohn format and Gherkin acceptance criteria. Use when turning user needs into development-ready work with clear outcomes and testable conditions.
Langue du texte source : anglais
Break a large story or epic into smaller deliverable stories using proven split patterns. Use when backlog items are too big for estimation, sequencing, or independent release.
Langue du texte source : anglais
Guide the transition to VP or CPO across preparing, interviewing, landing, and recalibrating. Use when executive product scope is changing fast.
Langue du texte source : anglais
Facilitate workshop sessions in a one-step, multi-turn flow. Use when an interactive skill needs consistent pacing, options, and progress tracking.
Langue du texte source : anglais
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`).
Langue du texte source : anglais
Author, consume, and enforce a DESIGN.md design system spec (Google Labs open format, package @google/design.md). This skill should be used when the project has a DESIGN.md at the root or under docs/, when the user mentions "design tokens", "design system…
Langue du texte source : anglais
飞书考勤打卡：查询自己的考勤打卡记录
Langue du texte source : chinois
飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
Langue du texte source : chinois
Initializes git-agent for a repository — generates commit scopes from git history and .gitignore via AI. Use when the user asks to "configure git", "setup git", "set commit scopes", "update gitignore", "create gitignore", or needs project-specific Git…
Langue du texte source : anglais
Instrument and discover analytics events in Sentry's frontend UI. Use when adding tracking to buttons, pages, modals, or custom interactions, when defining new analytics events, when searching for existing events, when auditing analytics coverage for a…
Langue du texte source : anglais
This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.
Langue du texte source : anglais
This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.
Langue du texte source : anglais
This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer training, LoRA workflows, and model evaluation for voice replication.
Langue du texte source : anglais
Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls
Langue du texte source : anglais
This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.
Langue du texte source : anglais
This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.
Langue du texte source : anglais
This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than…
Langue du texte source : anglais
This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
Langue du texte source : anglais
This skill should be used for personal operating-system workflows: content creation, voice consistency, relationship lookup, meeting preparation, weekly review, goal tracking, personal brand management, and network management.
Langue du texte source : anglais
This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.
Langue du texte source : anglais
This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.
Langue du texte source : anglais
This skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.
Langue du texte source : anglais
This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.
Langue du texte source : anglais
This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.
Langue du texte source : anglais
This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and…
Langue du texte source : anglais
Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.
Langue du texte source : anglais
This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design,…
Langue du texte source : anglais
Allows you to view the user's screen as well as several hours of history. Use when the user makes a reference to their recent work, for which it'd be helpful to see the screen. This skill MUST be used whenever you need to resolve ambiguity in a user request,…
Langue du texte source : anglais
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
Langue du texte source : anglais
Run python examples in auto mode with logging, rerun helpers, and background control.
Langue du texte source : anglais
Use when the task requires capturing or automating a real browser from the terminal.
Langue du texte source : anglais
Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level…
Langue du texte source : anglais
Estimate market opportunity (TAM, SAM, SOM) using multiple sizing frameworks (top-down, bottom-up, comparable company, analogous market). Triangulates across frameworks, highlights where they converge and diverge as signal, and produces a calibrated range…
Langue du texte source : anglais
Scores completed OKR sets at cycle close with KR-level scoring per the canonical OKR type enum (committed | aspirational | learning | operational_health | compliance_or_safety), committed-vs-aspirational interpretation, evidence quality assessment, learning…
Langue du texte source : anglais
Pre-sprint brief that locks challenge, sprint questions, team and role assignments, customer recruiting plan, prototype medium, interview format, logistics, and success criteria before Monday of a Design Sprint. Use after the readiness verdict is Go and…
Langue du texte source : anglais
Day 3 (Wednesday) move of a Design Sprint that runs the art museum layout, heat map, speed critique, straw poll, Decider supervote, rumble-vs-all-in-one decision, and the storyboard that drives Thursday's prototype build. The most decision-heavy day of the…
Langue du texte source : anglais
Day 1 (Monday) move of a Design Sprint that produces the bundled Monday artifact containing long-term goal, sprint questions (3-7 testable risks), customer or system map (5-15 step flow), expert interview notes, HMW (How Might We) cluster board, and the…
Langue du texte source : anglais
Day 4 (Thursday) move of a Design Sprint that produces the planning artifact for the day. Output covers the prototype role plan (Maker, Stitcher, Writer, Asset Collector, Interviewer), prototype brief (what to build, fidelity bar, time allocation per role),…
Langue du texte source : anglais
Pre-sprint diagnostic that determines whether a team should run a Design Sprint now, postpone it, or do prerequisite work first. Produces a Go / Conditional Go / Wait verdict with diagnosis, recommended preconditions, attendee list, customer recruiting plan,…
Langue du texte source : anglais