Product & Planning

aj-geddes Bundle

BROWNFIELD planning input. Scans an existing codebase READ-ONLY and writes project-documentation.md — ground truth for stack, structure, key flows, conventions, and integration points — so downstream BMAD planning skills start from reality. Does NOT modify code; produces only the doc artifact. Use when the user says: "document this codebase", "document the project", "document my app", "scan the existing code", "brownfield planning", "we have existing code, start planning", "map what's already built", "document current state", "capture the current architecture", "understand the existing system before planning", "write project-documentation.md", or before a PRD or architecture doc when the user already has code written. Three intents: Create (initial scan), Update (re-scan changed areas), Validate (check completeness). Plans only — reads code but never writes it, runs no tests, no linters, no build tools, no application code.

aj-geddes Bundle

Solutioning flagship — shards a PRD + architecture into epics.md and individual {epic}.{story}.{slug}.story.md context objects, the LAST planning artifact before external dev handoff. Each story is a self-contained ~8K-token compiled context object: Dev Notes with SOURCE CITATIONS back to prd.md/architecture.md, Acceptance Criteria, Tasks/Subtasks mapped to ACs, Testing strategy, Dependency Maps, an explicit Owned File/Module Scope list (the lever for parallel-conflict-free scheduling), and Learnings from Previous Stories. Sized to one dev-day; split if larger; NO story points. Use when the user says "shard the PRD", "create epics", "break the PRD into epics", "break this epic into stories", "create stories", "create a story", "draft story files", "generate the story for X", "prepare stories for dev", "mark the story ready for dev", "validate this story", or "what stories are in this epic". Three intents: Create new epics/stories, Update an existing story, or Validate a draft against the contract.

kortix-ai Skill

In-depth reference for how OpenCode works — the AI agent framework that powers this environment. Covers: agents (definition, loading, modes, model assignment), skills (discovery, loading, structure), tools (built-in + custom, permissions), commands (slash commands, frontmatter, routing), sessions (lifecycle, prompting, subagents), config (opencode.jsonc, providers, MCP servers, plugins), and the full REST/SSE API. Load this skill when you need to understand OpenCode internals, debug agent/tool/skill issues, extend the framework, create custom tools, or work with the session API.

kortix-ai Bundle

Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification (defined terms, cross-references, placeholders, boilerplate, citation format). Triggers on: 'draft a contract', 'write a legal memo', 'create an NDA', 'write a brief', 'legal document about', 'draft a complaint', 'terms of service', 'privacy policy', 'demand letter', 'settlement agreement', 'legal opinion', 'discovery requests', any request to produce a legal or law-related document.

pika-labs Bundle

Use when the user asks for persona builder or a task matching the examples below. Whip a person into a more marketable shape online. Read their socials and the way they talk, then deliver real talk about where the money is, what's holding them back, and what to fix — then ship the designed multi-page Influencer Persona PDF + a persona.md folder kit that downstream skills (ugc-ads, podcast, founder-product-video, app-sizzle, app-store-screens) can consume. Input is the person themselves: socials, camera roll, taste URLs, a selfie video, or start-from-scratch answers. Visual/PDF stages still require real curated imagery: user-provided photos, or clean public-feed frames from a supported social handle. Output is a self-contained kit + a roadmap to actually become that persona online. Trigger phrases: "build my influencer identity", "make me a creator brand", "personal brand for [niche]", "build my online persona", "influencer persona.md", "I want to be an influencer", "make my creator identity", "persona.md for

brightdata Bundle

Use Bright Data's Discover API — intent-ranked, AI-relevance-scored web search at scale (not keyword SERP). Trigger a discovery job and retrieve ranked results (link, title, description, relevance_score) with optional parsed page content. Use when the user wants semantic/intent-based web search, "find pages about <topic> that match <goal>", web-grounded retrieval for an LLM, or results filtered by relevance rather than raw keyword rank. Covers the REST API (POST/GET /discover), the CLI (`bdata discover`), and the Python/JS SDKs (`client.discover`), including the standard/zeroRanking/deep/fast modes. This is the foundation skill for `live-research` and `rag-pipeline`. For keyword SERP use `search`; for structured platform data use `data-feeds`.

brightdata Bundle

Web data extraction and discovery using the Bright Data JavaScript/TypeScript SDK (`@brightdata/sdk`). Use when the user is working in Node.js/TypeScript and asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when the user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, ChatGPT, Perplexity, or DigiKey, or asks for "bulk data", "historical data", or "dataset" from JS. Covers scraping, SERP search, AI discovery, datasets, browser automation, and Scraper Studio. For Python, use brightdata-sdk; for the terminal CLI, use brightdata-cli.

brightdata Bundle

Web data extraction and discovery using the Bright Data Python SDK. Use when user asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, Zillow, Crunchbase, or DigiKey, or asks for "bulk data", "historical data", or "dataset". Covers scraping, searching, datasets, and browser automation.

render-oss Bundle

Connects Render services over the private network—internal DNS, service discovery, and cross-service communication. Use when the user needs to wire services together, resolve internal hostnames, troubleshoot connectivity between services, configure environment isolation, or understand which services can reach each other.

samber Bundle

CLI for querying Prometheus and PromQL-compatible engines (Thanos, Cortex, VictoriaMetrics, Grafana Mimir, Grafana Tempo...) — instant queries, range queries, metric discovery (metrics/labels/meta subcommands), output formats (table/csv/json/graph). Apply when executing PromQL queries, troubleshooting performance issues on a software having observability, investigating latency/error rates/saturation, or analyzing time series data.

samber Bundle

Deep research on any topic — broad parallel web searches, multi-source validation, confidence tracking, and a cited Markdown report. Use whenever the deliverable is a thorough sourced report rather than a quick answer: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Covers 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory overview), technical (architecture, tooling, benchmarks, technology evaluation), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, teardowns, roadmap signals), academic (literature survey, citation networks, ke

alibaba-skill-up Bundle

Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.

zereight Skill

PRD-driven persistence loop until task completion with verification. Activate when user says: ralph, don't stop, must complete, finish this, keep going until done.

cfircoo Skill

Generates Product Requirements Documents for new features through guided discovery. Use when starting a new feature, creating specifications, or when user needs help defining requirements with clarifying questions.

cfircoo Bundle

Interviews users to build comprehensive project specifications. Use when starting a new project, feature, or when user needs help defining requirements through guided discovery.

cfircoo Skill

Converts Product Requirements Documents into prd.json format for the Ralph autonomous agent system. Use when preparing PRDs for Ralph execution, breaking down features into atomic user stories, or when the user mentions Ralph, prd.json, or autonomous agent workflows.

cfircoo Bundle

Orchestrates the full Ralph autonomous agent pipeline from requirements gathering to execution. Use when building new features, platforms, or complex tasks that need structured development through spec-interview, PRD generation, and autonomous implementation.

zhaono1 Bundle

Coordinates multi-skill workflows and records or runs follow-up actions when the host runtime supports them. Use when completing PRD creation, implementation, or any milestone that should be evaluated for additional skills.

zhaono1 Bundle

Designs technical solutions and architecture. Use when user says "design solution", "architecture design", "technical design", or "方案设计" WITHOUT mentioning PRD. For PRD-specific work, use prd-planner skill instead.

zhaono1 Bundle

Precheck a PRD or feature specification before implementation, resolving material blockers while continuing directly when requirements are clear.

bmad-labs Bundle

Bidirectional sync between BMAD planning artifacts and GitHub Projects v2. Use this skill whenever the user says "sync to github", "push stories", "pull status from github", "set up github project", "github sync", "onboard github project", "create github issues from stories", "update stories from github", "sync status", or wants to manage BMAD artifacts in GitHub Projects. Also trigger when user mentions "gh project", "github board", "sprint board", "project roadmap", "relationship field", "blocked by", or "parent issue" in the context of BMAD artifacts. Trigger on implicit cues like "I want to track stories in github", "let's set up a project board", "what's out of sync", "push the sprint to github".

bmad-labs Bundle

Use when the user wants Jira issues pulled onto disk as local files — "pull PROJ-123", "fetch this story", "get that ticket locally", "download the bug", "save this issue and its comments", "grab the NFR", "read this ticket offline", or a pasted Jira browse URL with nothing else asked of it. Also for many at once — "sync all tickets in sprint 62", "pull every bug in the sprint", "fetch the whole backlog locally", "download all of team X's issues". Covers any issue type — story, bug, epic, subtask, or whatever types the project has invented for itself. Also when the issue links a Confluence page that should come down with it. This skill only reads: for creating, editing, transitioning, commenting, searching, or pushing anything back to Jira, use atlassian-rest instead.

docyrus Bundle

Develop applications using the Docyrus API with @docyrus/api-client and @docyrus/signin libraries. Use when building apps that authenticate with Docyrus OAuth2 (PKCE, iframe, client credentials, device code), make REST API calls to Docyrus data source endpoints, construct query payloads with filters, aggregations, formulas, pivots, and child queries, or integrate with external connectors (discover connectors, send requests through provider auth, run actions). Triggers on tasks involving Docyrus API integration, @docyrus/api-client usage, @docyrus/signin authentication, data source query building, Docyrus REST endpoint consumption, connector discovery, or external provider requests.

levnikolaevich Skill

Evaluates new product opportunities using demand, channels, competition, and economics. Not for committed-backlog or implementation planning.

zsxink Bundle

Use when creating or restyling editable Draw.io diagrams in a clean PPT / presentation card style — stage cards, timelines, process flows, architecture overviews, comparison grids, or mind maps that should look presentation-ready. For dense poster knowledge maps prefer drawio-roadmap-snake; for strict prerequisite course lanes prefer drawio-roadmap-swimlane.

zsxink Bundle

Create or redesign editable Draw.io snake-style roadmaps with continuous U-turn tracks, paired color lanes, category bands, knowledge columns, priority markers, and smooth stage transitions. Use for learning paths, curriculum maps, skill trees, product capability maps, certification routes, career roadmaps, and .drawio diagrams that should read as a colorful winding route.

zsxink Bundle

Generate a "swimlane flow" learning roadmap as a draw.io (.drawio) file — horizontal stage lanes stacked top-to-bottom, each a colored rounded band holding titled unit cards, connected by directional arrows showing strict learning order. Color advances stage by stage. Use when the user wants a roadmap / 学习路线图 / 知识地图 as a drawio where sequence matters and each unit has a title + subtitle. For poster-like parallel skill overviews prefer drawio-roadmap-snake.

rand Skill

Automatically discover product management skills when working with product management, roadmap, user stories, prioritization, metrics, or product strategy. Activates for product development tasks.

srstomp Bundle

Use when analyzing PRD documents, concept briefs, or feature specs to create implementation plans, breaking work into epics/stories/tasks with dependencies and estimates, or generating PROJECT.md and kanban tracking.

srstomp Bundle

Use for multi-day technology evaluations, competitive analysis, architectural exploration, best practices research, or major strategic decisions requiring comprehensive investigation and stakeholder reports. Unlike spike (time-boxed hours), supports extended multi-day investigation.

srstomp Bundle

Use when verifying feature completeness against PRD requirements, identifying gaps between backend implementation and user-facing accessibility, generating remediation tasks, or auditing across frameworks (Next.js, React Router, TanStack, React Native, Expo).

agents365-ai-365-skills Skill

Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.

agents365-ai-365-skills Bundle

Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.

austintgriffith-ethskills Skill

Current Ethereum development tools, frameworks, libraries, RPCs, and block explorers. What actually works today for building on Ethereum. Includes tool discovery for AI agents — MCPs, abi.ninja, Foundry, Scaffold-ETH 2, Hardhat, and more. Use when setting up a dev environment, choosing tools, or when an agent needs to discover what's available.

briiirussell Skill

Perform structured reconnaissance and attack surface enumeration for authorized penetration tests, CTF challenges, and bug bounty programs. Use when the user mentions 'recon,' 'reconnaissance,' 'enumerate,' 'attack surface,' 'subdomain enumeration,' 'port scan,' 'fingerprint,' 'asset discovery,' or needs to map a target's external footprint.

briiirussell Skill

Map your security posture against the NIST Cybersecurity Framework 2.0 (Govern, Identify, Protect, Detect, Respond, Recover). Produce a gap analysis, current/target tier assessment, and roadmap in the governance language that boards, auditors, and CISOs actually use. Use when the user mentions 'NIST CSF,' 'CSF 2.0,' 'cybersecurity framework,' 'security posture,' 'governance mapping,' 'CSF gap analysis,' 'CSF tiers,' 'cybersecurity maturity,' 'security roadmap,' 'CISO report,' 'board reporting,' 'security program,' or needs to translate technical findings into governance language.