Product & Planning

samin12 Bundle

Install, discover, and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

zenx0x Bundle

Explore open-ended scientific or product questions through multiple concurrent Research Routes branches, probes, experiments, observations, evidence polarity, failure regimes, unknowns, and mature-method comparators. Use for research exploration or hybrid discovery from any starting point while keeping a route-neutral terrain map separate from claims, authorization, implementation, and canonical state.

samin12 Bundle

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

templeking Skill

基金候选发现 Skill。基于财富 MCP Gateway，通过基金类型、产品标签、投资风格和历史指标等条件召回并复核基金候选。适用于“筛选近三年回撤较小的基金”“找几只红利低波基金”“半导体相关基金中哪些波动较低”等问题。结果仅代表当前工具候选范围，不负责全市场严格筛选、个性化基金推荐或交易决策。

dga-sd Skill

ซักไซ้ — Interview the user with a few sharp questions to lock scope BEFORE drafting a Thai government standards document (เล่ม (ร่าง) มสพร. / มรด. / outline / DD / PRD) or any large deliverable. Use when the user asks to draft (ร่าง/ทำเล่ม/เขียนมาตรฐาน/ทำเอกสารใหญ่) but key facts are missing — topic, scope, document code, audience, or sources. Ask 2-4 questions per round (max 2 rounds), then produce a requirement brief (สรุปโจทย์) with every assumption marked ……(รอยืนยัน). Do NOT use when the request already has enough detail or the user says placeholders are fine — just start working.

manhvann Skill

Utilize MCP server tools with intelligent discovery and execution.

ahinleew-aivju833 Skill

Use when answering questions about the Sobrus product database project — its data model, anomaly rules, reference sources, tracker actions, workpackages, RACI, roadmap, risks or governance rules — or when asked to connect to the PPDB MCP server.

manhvann Bundle

Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, intelligent tool selection, multi-server management, context-efficient capability discovery.

manhvann Bundle

Fast codebase scouting using parallel agents. Use for file discovery, task context gathering, quick searches across directories. Supports internal (Explore) and external (Gemini/OpenCode) agents.

tongyidai Bundle

AI 领导力陪练：面向任何想提升领导力的人——不只是管理者，也包括没有下属的普通员工/个人贡献者 （领导力=影响力，无正式职权也能练：向上沟通、跨部门推动、会议表达、带人协作、反馈与冲突处理）。 先与本人多轮对齐"想提升的方向 + 当前所处阶段 + 近期真实场景"，再从本人飞书证据（重点是周会等 重要会议上本人的发言逐字记录，其次是 OKR、本人发出的关键沟通、本人主编文档、任务）中， 用 GROW / SCARF / Radical Candor / 情境领导 / SBI 等成熟框架，提炼本人在领导力层面的问题与 可操作改进建议，可从共同会议里提炼同类情境下更好的处理方式（脱敏、不点名）作为可学的情境范本，并可基于诊断结果做 情景演练和 GROW 拉底式教练。支持定期运行（默认每周一上午 10:30 复盘上一周的领导力相关内容）。用户提到领导力陪练、领导力教练、提升领导力、想更有影响力、 我沟通/协作有什么问题、复盘我在会上的发言、这种情况怎么处理更好、练一场难搞的对话、每周领导力复盘时使用。 仅限本人自愿自读：只诊断本人的行为；学情境范本时一律脱敏、不点名、只讲做法，不对他人打分/排名/画像、 不做绩效/晋升/离职判断、不用于监控或 HR 评估。

youssefguba Bundle

Turn agreed conversation context into a PRD and publish it to the project issue tracker.

youssefguba Bundle

Implement approved work from a PRD or issue set with tight feedback loops.

youssefguba Bundle

Break a PRD or plan into independently grabbable tracer-bullet issues.

zzh730 Bundle

Find fresh Bay Area restaurant recommendations from RedNote, require five of five independently authored recommendation posts per venue, annotate literal 避雷 or 踩雷 mentions, validate on live Google Maps, deduplicate prior picks, and persist results. Use for recurring or one-off requests such as weekly Bay Area food discovery, 小红书湾区探店, new restaurant monitoring, or deduplicated restaurant recommendations.

felipcsousa Bundle

SiftOS — Product judgment for coding agents. Gives agents persistent product context (strategy, evidence, prior decisions, learnings) and uses it to prioritize work, critique ideas, catch contradictions and improve product decisions in the conversation. Use for "what should we build", "critique this spec/PRD/PR", "does this align with our strategy", "did it work", product-aware implementation preflight, and durable product memory. Product memory lives in .product/ (Markdown + Git). Human owns the decision; automation is always user-chosen.

wrg32786 Bundle

Use this skill as an LLM-operated Organic Growth Operator to research, audit, validate business truth, map exact AI recommendation shelves, select truthful wedges, implement owned-site improvements, prepare legitimate earned-source drafts, and measure qualified organic discovery across conventional SEO, AEO, GEO, citations, recommendations, local and commerce surfaces. Trigger for webpage or repository audits, fact or claim governance, AI shelf mapping, competitor/source recon, content creation or refreshes, GitHub or CMS edits, internal links, schema, ethical Reddit/forum/editorial work, experiments, and rollback. Do not use for paid ads alone, generic definitions, or deceptive ranking manipulation.

tongyidai Bundle

工作职责总结：从当前用户全量的重要飞书资产——本人写的自评/述职/晋升/总结类文档、OKR、任务、会议与妙记、日历例会、我主编的文档、审批、IM 高频协作——中，反推并成文地写出这个人最近半年真实在做的工作职责，用『职责域 + 关键结果 + 利益相关方』的成熟框架描述，交给用户微调确认，再写成一个可复用的职责档案文件，并可选写进 Agent 记忆作为长期锚点，还支持定期重跑、对比变化、经用户确认后刷新锚点。用于给 AI 一个稳定的『本人真正关心什么』的 grounding，避免后续探索、查找、判断时偏离本人关注点。当用户说『工作职责总结』『我的工作职责』『我最近在负责什么』『总结我的职责/岗位职责』『帮我沉淀一份工作职责给你记住』『让你更懂我在做什么』『定期更新我的工作职责』，或要基于飞书真实活动反推现任职责时使用。不负责撰写招聘 JD、绩效评估、写 OKR 本身（走 feishu-okr-drafter）。

dingshanliang Bundle

Run a structured thinking lab for complex decisions, opportunity discovery, plans, contentious claims, product choices, or architecture choices by resetting inherited anchors, expanding the problem-specific coverage space, adversarially testing distinct candidates, and reconstructing a stronger judgment. An explicit user invocation means Full Lab unless the user asks for quick or joint mode; automatic invocation may use Quick Lab.

mithril-studio Bundle

Turn a project brief into an ordered backlog of dependency-sequenced GitHub issues for the Software Factory, each labeled agent:queued so the factory builds them lowest-number-first. Drafts the full ordered issue list from a brief plus a target owner/repo, shows it for human review and editing, and only creates issues after explicit approval. Use when the user says "compose a backlog", "factory-compose", "plan issues for the factory", "decompose this brief into issues", or hands over a project brief/spec together with a target owner/repo.

paulohfs Skill

Executa suíte autônoma de QA/E2E com emulação de personas, navegação de browser, discovery de bugs, triagem de issues e correções em paralelo. Use para scaffold .agentic-qa, emulação de usuários, testes de navegação, triagem ou correções autônomas de QA.

monsterget-com Bundle

Collect TikTok data (videos, creators, hashtags, profiles) through the user's own real browser — anti-blocking, zero-setup, permanently free. Requires the free MonsterGet browser extension (one-time install), then the AI orchestrates repeatable collections. Supports video search, creator discovery, hashtag collection, and bulk profile export to CSV. Use whenever the user asks for TikTok data or social media research. Works with Claude Code, Codex, Cursor, Windsurf, Cline, ChatGPT.

tranhaianh20571-droid Bundle

按《人人都是产品经理》标准撰写 PRD：总体说明 + 用例图/类图/状态图 + 逐个 UC。UML 只用 PlantUML，出图用本机 Java 与 plantuml.jar。触发词：创建 prd、写 prd、需求文档、用例文档、UC、spec out。

ukkit Bundle

Turns a PRD, design doc, or feature spec into a Scrum-style product backlog broken into ≤4-hour tasks (1 story point = 4 hours), grouped into 6-day sprints capped at 12 points, with dependencies tracked and a Definition-of-Done check that the product stays in a shippable state at the end of every sprint and every epic - never saving all the "wire it into production" work for one big integration epic at the end. Use this whenever the user shares or references a PRD, spec, design doc, or feature description and wants it turned into tasks, a backlog, a sprint plan, story points, or an estimate of how long something will take to build - even if they don't say "Scrum" or "sprint" explicitly, e.g. "break this down into tasks," "how should we sequence this project," "plan out this feature," or "how many sprints will this take."

keeldiscovery Bundle

Use when the user says or means "keel connect" -- including "connect keel", "start the keel runtime", "launch keel connect", "is keel connected", "check keel's status" -- or "keel disconnect", "stop the keel runtime", "shut keel down", "keel off"; or when a Keel action has just failed because no runtime is connected. Covers only the local keel-runtime process on this machine, not Keel's discovery protocol or any MCP server.

ai-2070 Bundle

Use this skill when the user is integrating the Net Payments SDK (`net-payments` Rust crate, `net_payments` lib, or the Python/Node `CapabilityGateway` + `PaymentProvider` payment surface) — x402-native payments for the Net mesh. Covers pricing a capability at discovery (`net.pricing.terms@1`), issuing signed quotes (`net.payment.quote@1`), the provider lifecycle engine (`PaymentEngine`: quote → verify → settle → tiered verification → billing), the caller flow (`CallerPaymentFlow` / `ProviderChannel`: pricing → spend policy → payload → pay), paid agent-to-agent tasks (prepare → purchase → submit: `serve_a2a_configured`, `redeem_for_task` on a reservation-bound quote, `A2aCallerFlow` + a durable `A2aPurchaseStore`), facilitators (mock + the real HTTP `verify`/`settle` client, config packs, auth), tiered verification (`observed | confirmed(n) | final`) with the independent on-chain `ChainChecker`, reorg handling, the settlement signer seam (`SchemeSigner` / `ExternalSigner` / `ExternalSvmSigner` / `ExternalXrpl

rabbbitrun Bundle

Create or revise HTML requirement wireframes with a separate, traceable review annotation layer. Use for annotated prototypes, requirement review pages, PRD companion pages, or requests to keep annotations distinct from product UI, including “需求线框图”“需求注释”“需求标注”“原型评审页”. Supports single-page and multi-page review workspaces.

alexgoller Skill

Generate a comprehensive Illumio PCE security assessment report as a branded .docx document. Use this skill whenever the user asks to analyze, assess, audit, or report on their Illumio PCE environment, microsegmentation posture, Zero Trust Segmentation status, enforcement readiness, or policy coverage. Also trigger when the user mentions: PCE health check, segmentation roadmap, enforcement status report, lateral movement analysis, compliance check, policy gap analysis, ringfencing readiness, or anything involving evaluating the state of an Illumio deployment. The skill produces a multi-section Word document using Illumio brand colors covering environment overview, security findings, policy compliance against custom rules of thumb, lateral movement risks, infrastructure service classification, unmanaged traffic blind spots, and a phased enforcement roadmap. Requires the illumio-mcp MCP server to be connected.

xpressabhi Skill

Use when the user wants to install, update, sync, list, or remove agent skills sourced from external repositories (e.g. a GitHub repo containing SKILL.md files), or to discover new skills. Runs the full add/update/discovery workflow: clones the source repo into a cache, scans it for skills, suggests which ones are relevant to the user's setup, resolves conflicts with already-installed skills, tracks every install in prefs.local.json so reruns can detect updates and new skills, and wires the chosen skills into all harnesses. Triggers on phrases like "add skills from <repo>", "install more skills", "fetch skills from", "sync/update my skills", "check my skills for updates", "show installed skills", "discover new skills".

yanyan1115 Skill

Use before starting or resuming substantive project work, after compaction or task takeover, and whenever roadmap.md/List.md/NOW.md state changes. Maintains a phased roadmap, an ordered current-stage task list, and a strict three-line execution checkpoint. Pure chat may use it optionally.

vgrugor Bundle

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guilherme-braga4 Bundle

Preflight an approved roadmap before implementation: inspect code, cross-repository contracts, infrastructure, database, test environments and delivery dependencies in Plan mode; resolve prerequisite questions with the user and produce an evidence-backed execution handoff. Use before roadmap-executor or when changed prerequisites need reassessment.

rabitarochan Skill

Install SkDD into the current project. Deploys the skdd-harvest engine skill, backlog seed, optional Stop hook, the managed AGENTS.md section, and the CLAUDE.md import. Explicit invocation only (/skdd:setup).

rabitarochan Skill

Update SkDD assets already deployed in the current project (skdd-harvest engine skill, Stop hook, managed AGENTS.md section) to the installed plugin version. Never touches the backlog or harvested skills. Explicit invocation only (/skdd:update).

sepand Skill

A SkillScope Phase B test fixture nested two directories deep, to verify recursive discovery finds skills in a monorepo-style layout even when the scan root looks clean at the top level.

derek-ye Skill

Summarize open PRs, tickets, or work threads in a concise table explaining what each delivers, its project relevance, and whether it deserves attention now. Use for backlog triage, stale-work reviews, or questions like "am I working on the right thing?" Not a substitute for a detailed code review.

gabriel2772 Skill

Transforma cada entrega relevante de Marcos em evidência sóbria e factual de desempenho, para avaliação e promoção. Use quando ele pedir para registrar uma entrega ou conquista — "registra isso", "guarda essa entrega", "anota pro meu histórico", "isso conta pra minha avaliação", "registro de impacto" — e ofereça registrar (em uma linha, sem insistir) ao concluir um trabalho claramente significativo (relatório que evitou custo, RNC, auditoria, processo que ele padronizou). Captura data, demanda, problema resolvido, resultado, indicador afetado, risco reduzido, economia potencial, stakeholder e evidência, mais uma frase pronta para conversa de avaliação. NUNCA produza autopromoção inflada — linguagem mensurável e factual, sem adjetivos vazios.