Product & Planning

ronald-koh Skill

Implement a piece of work based on a PRD or set of issues.

ronald-koh Skill

Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices.

newmindsgroup Skill

Restores working context from notes, files, summaries, and prior decisions so an agent can continue without repeating discovery.

autom8labs Bundle

Operate a live Unreal Editor through AUTOM8LABS MCP toolsets with targeted registry discovery, scoped reads and verified actions. Use for the connector and its editor integration. Do not use for general rendering advice or Unreal code-only work.

itsnotailabs Skill

Use when NOVA needs to connect to Caffeine CLI or a Caffeine MTP/MCP-style server for build requests, tool discovery, artifact import, or Caffeine app handoff.

itsnotailabs Skill

Use when NOVA should discover, normalize, and govern arbitrary MCP servers through tool/resource/prompt discovery, auth boundaries, and proof-gated task invocation.

theworstprogrammerever Bundle

Notice when meaningful agent work should become reusable collective knowledge. Use after substantial implementation, review, debugging, incident recovery, setup, operational discovery, repeated procedures, or when a task reveals a durable pattern, stale guidance, missing skill, shared-note update, or always-loaded AGENTS.md habit worth proposing through Linear instead of silently changing shared knowledge. Do not use for trivial, one-off, or purely local work.

autsachi Bundle

Inspect a software repository and recommend the most valuable next implementation task from current state, recent commits, roadmaps, TODOs, and issue context. Use when the user asks what to do next, asks to inspect the next task, requests backlog prioritization, or says phrases such as "ดูงานถัดไป", "ควรทำอะไรต่อ", or "next task". This is a read-only planning workflow unless the user separately asks to implement.

carreiras Skill

Use quando precisar planejar ou documentar uma nova feature sem inflar o PRD, gerar o arquivo de spec de uma funcionalidade, definir escopo e critérios de aceite, ou decidir o status de um spec (rascunho/dev/homolog/ arquivado). Exemplos: "vamos criar um feature spec", "quero planejar uma nova feature", "como documento essa feature", "gere o spec para essa funcionalidade", "essa feature foi reprovada em homolog, e agora?".

carreiras Skill

Use quando precisar decidir se deve atualizar o PRD, como referenciar o PRD num feature spec, quem pode aprovar uma edição do PRD, ou revisar o que pertence ao PRD versus ao feature spec. Exemplos: "devo atualizar o PRD?", "o que vai para o PRD?", "ficha do PRD", "quando atualizo o PRD", "como referencio o PRD", "essa decisão é estrutural?", "posso reverter o PRD?".

ozlar34 Bundle

Process an Apple Reminders capture list one item at a time — ideas captured via Siri on mobile. Analyze each against current context, recommend routing (act/save/backlog/ignore), execute on confirmation, then mark complete. Configure the list name and routing destinations below.

sitabanubanu Bundle

Start here for end-to-end source-gated knowledge work from broad learning needs, URLs, queries, transcripts, subtitles, media, web articles, social posts, and repositories. Route optional web discovery through web-intent-scout, then acquisition and evidence, and finally a learning article or source-faithful document; report provenance-aware status and do not acquire or write claims directly.

ygwa Bundle

Cognitive Discovery Runtime — Code-to-Knowledge extraction, domain composition, capability mapping, and documentation portal generation. Use when the user mentions "profile", "discover entries", "discover behaviors", "discover states", "compose domain", "capability map", "generate documentation", or "knowledge portal".

igmarin Bundle

Use before writing code, specs, or a PRD in an existing Rails app. Load schema, routes, and one neighbor per layer. Trigger words: load context, before I code, existing patterns.

cristhianzl Bundle

Fix a Langflow bug using strict TDD — UNDERSTAND → REPRODUCE (RED) → VERIFY RED → FIX → VERIFY GREEN → VALIDATE → REFACTOR — with Langflow hotspot awareness (lfx vs langflow-base split, dynamic component discovery, expand-contract Alembic migrations, pre-commit must invoke uv run git commit). Use when the user reports a bug in Langflow, mentions Sentry/error/regression, pastes a stack trace, or asks to fix something. Bugs require a failing test that proves the bug existed before any code change. For building new features use developing-features-tdd; for non-TDD code work use developing-features.

amplitude Skill

Synthesizes customer feedback into actionable themes including feature requests, bugs, pain points, and praise. Use when planning product roadmap, understanding user sentiment, investigating specific issues, or preparing voice-of-customer reports.

jsuvic Skill

Use when a stakeholder request is rough, ambiguous, or underspecified and needs clarification before planning, writing a spec, or creating issues.

koreaben777 Bundle

Audit a repository's current implementation, update its public README, and reconcile GitHub Issues with verified scope. Use when a user asks to check current implementation status, refresh README or project documentation, close completed issues, create or refine backlog issues, or keep public repository communication aligned with code and tests.

merit-systems Bundle

Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Both endpoints are $0.04 per call. IMPORTANT: Never guess endpoint paths. All paths follow the pattern https://enrichx402.com/api/{provider}/{action}. Use exact URLs from the Quick Reference table below or call x402.discover_api_endpoints first.

stackhawk Bundle

Runs the HawkScan DAST security loop — configure, scan, fix all reported vulnerabilities (not just your changes), rescan to verify. Performs code-first discovery to configure high-value scans, and quality-gates every scan against code-derived expectations before findings are parsed. Use when the user asks to run or perform a security/DAST scan, to test an app or API for vulnerabilities, or to verify a vulnerability is fixed; and AUTONOMOUSLY right after you complete a code change (feature, bugfix, refactor) — "done" means "done and secure," so run the loop without asking permission. Do NOT trigger for: informational questions about what HawkScan is, detects, or how it works (e.g. "what vulnerabilities does HawkScan find?"); editing stackhawk.yml or other config without running a scan; querying existing findings, security posture, untriaged counts, or scan history (use the stackhawk-api skill); documentation-only changes; installing or setting up the CLI; or when the user explicitly says to skip scanning.

umbraco Skill

Manages the Umbraco.Automate demo site for development. Handles starting with DemoSite-Claude profile, port discovery via named pipes, and stopping. Use when starting, stopping, or checking the demo site.

tscarpe Bundle

Digests and health-checks product requirement documents (PRD). Stage 1 produces a structured digest (roles, concepts, feature map, flow diagrams, state machines) to build shared understanding; stage 2 audits the requirement against a six-layer defect taxonomy and produces a graded issue report plus a PM clarification checklist. Use when the user shares a requirement/PRD document (Feishu/wiki link or local file) and wants to understand it, prepare for design, or find problems before development. 触发词：需求文档、需求梳理、需求体检、需求评审、产品需求、帮我理解这个需求、sdlc-intake、PRD digest、requirement audit.

apizanti-uxr Bundle

Builds structured learning backgrounds for UXD research topics, products, and KPIs using Archie research reports, personal Google Drive documents and meeting notes, and Atlassian Rovo. Delivers past / near-past / present / future timeline, stakeholder map, cited resources, and wide-to-narrow learning chunks. Use when the user asks for background, context, research planning, product overview, KPIs, meeting notes, "what do I need to know about...", or onboarding to a UXD topic.

costory-io Skill

Use when exploring Costory cost, usage, metric, formula, budget, or external-metric data with the query tool — scope vs split (filterCel / groupBy), explorer PoP comparison, CEL discovery, unit economics, budgets. Not for one-shot "what changed last month" change trees — those use recipes explain-period-change / reports Explain (DIGEST preview). Call get_skill with skillId "query" before non-trivial query work.

dangxingyu Bundle

Turn a vague research idea, hunch, or observation into one crisp, falsifiable project idea and an executable project plan. Interview the user once, early, to capture the idea's kernel, constraints, and taste; generate materially different candidate projects; kill-test and select autonomously; write a project contract; then build a prediction-annotated experiment roadmap where every experiment declares 2-4 outcome branches, their implications, coarse credences, and a pre-committed surprise protocol. Use when asked to narrow down a vague idea, scope a project, turn a hunch into a research plan, decide which experiment to run first, or map experiments and their possible outcomes before running them.

tarlarion Bundle

Compiles feature briefs into AIPRD v2 code-ready product specs. Use when the user says compile feature, recompile, AI-PRD, AIPRD, product spec, or works with feature.md and airdp-schema.md. Asks blocking decisions via AskQuestion with contextual option labels before generating the full PRD.

tongtonytony Bundle

为任意行业、任意项目生成符合规范格式的需求规格说明书或PRD文档，包含需求矩阵、用例图和用例描述。当用户需要编写需求规格说明书、PRD、产品需求文档，或提及「需求规格说明书」「PRD」「需求矩阵」「用例图」时自动触发。

glebis Bundle

User-invoked review that coordinates the humane review skills — layout-rules, ux-writing, typography, nielsen-heuristics, walkthrough, design-tokens contrast — into one prioritized verdict, and marks the domains it cannot cover instead of improvising them. Supports quick and full modes. Identifies the artifact first and runs a reduced document pipeline for a README, PRD, or docs page rather than stretching a UI pipeline over it. Use when explicitly asked for a holistic review of a screen, flow, feature, product, or document. Triggers on humane review, full review, review the whole thing, holistic UI audit, cross-skill design review, "review this properly", "полный ревью".

signalpilot-labs Skill

BLOCKING REQUIREMENT: If the user's message mentions dbt, SQL, database, or data pipeline — invoke this skill as your FIRST tool call, BEFORE Read, Glob, Grep, Bash, or Agent. Covers: SignalPilot MCP tools, available skills, and the governed workflow for dbt projects, SQL queries, schema discovery, and database access.

signalpilot-labs Bundle

Load FIRST before any dbt project work. Covers the full 8-step dbt workflow: project scanning, skill loading, validation, macro discovery, research, technical spec, SQL writing, and verification. Also covers output shape inference, incremental model handling, and what to trust in YML.

devantler-tech Skill

Repository maintenance for devantler-tech/reusable-workflows — triage, action/workflow version hygiene, backward-compatible workflow health, and consistency across the shared CI/CD building blocks. Use when performing autonomous or on-request maintenance of this repo.

extrasmall0 Skill

Collect fresh job-posting URLs into ~/.dear-hiring-manager/urls.txt by running an Apify job scraper — the discovery source for /batch. Runs a configured Apify actor via the Apify API (Bearer-header auth) with a search built from the profile's desired titles + level + location, extracts the direct application URL per job, and de-dupes against already-submitted jobs. Use for /apify-collect.

brycewang-stanford Bundle

Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery) — OR in distributional / gap-decomposition style (Oaxaca–Blinder `sp.oaxaca`, Kitagawa `sp.kitagawa_decompose`, DiNardo–Fortin–Lemieux `sp.dfl_decompose`, Gelbach `sp.gelbach`, Fairlie `sp.fairlie`, RIF / FFL `sp.rif_decomposition`, all reachable through the `sp.decompose` dispatcher). Also covers exporting mu

brycewang-stanford Skill

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.

poteto Skill

Implements a backlog item. Reads the task prompt, makes changes, commits.

poteto Skill

Reads backlog and produces multi-stage work orders including test and deploy stages.