Product & Planning
Product & planning agent skills structure the thinking side of building: specs, PRDs, user stories, roadmaps, and prioritization frameworks. Install one and your AI agent produces planning documents with the same rigor and format every time.
-
ayoubben18 Skill Critique PlanPre-implementation critic. Spins up a read-only domain critic that challenges a drafted plan — a task's missions or a roadmap's task graph — against the ubiquitous language, CONTEXT.md, and ADRs, and pushes back ONLY on genuine conflicts. Silent when the plan is sound. Use before implementing (from create-task / create-roadmap) or standalone to stress-test a plan against the project's domain model.
-
ayoubben18 Skill Reconcile RoadmapCross-plan coherence critic for a whole roadmap. Reads roadmap.md plus every planned task's progress-tracker.md and pushes back ONLY on genuine discrepancies BETWEEN the finished plans — broken seams, coverage gaps, duplicated work, reversed/missing edges, terminology drift, conflicting assumptions. Read-only; silent when the plans cohere. Run standalone after planning finishes and before /start-roadmap.
-
ayoubben18 Skill Sync ArchitecturePost-implementation documentation-sync detector. Spins up ONE read-only subagent on a completed task's diff to find everything the change introduced that the architecture docs don't yet know about — new endpoints, patterns, dependencies, domain terms, ADR-worthy decisions — routed to the exact doc each belongs in. Autonomous runs apply only append-only safe additions and defer domain/ADR reshapes; interactive runs present the proposed doc deltas to pick. Use after a task's missions are done (from create-task / start-task / start-roadmap) or standalone on a diff.
-
ayoubben18 Bundle Review ImplementationPost-implementation review. Spins up three read-only critics on a completed task's diff — cleaner-architecture, slop-defender, reusability-inspector — that push back ONLY on real issues. Autonomous runs apply safe fixes (tests-green-gated) and write everything to review.md next to progress-tracker.md; interactive runs present findings to pick. Use after a task's missions are done (from start-task / start-roadmap / create-task) or standalone on a diff.
-
vfarcic Skill Dot AI Prd DoneComplete PRD implementation workflow - create branch, push changes, create PR, merge, and close issue
-
vfarcic Skill Dot AI Prd NextAnalyze existing PRD to identify and recommend the single highest-priority task to work on next
-
vfarcic Skill Dot AI Prds GetFetch all open GitHub issues from this project that have the 'PRD' label
-
vfarcic Skill Dot AI Prd CloseClose a PRD that is already implemented or no longer needed
-
vfarcic Skill Dot AI Prd CreateCreate documentation-first PRDs that guide development through user-facing content
-
crazynomad Skill Backlog ManagerGitHub backlog governance manager-loop. Triage open issues (type + routing labels), complete thin descriptions, maintain a bounded ready queue (Todo ≤ 5) on a GitHub Projects board, and repair board drift (closed issue still "In Progress" etc.). Config-driven — reads .claude/backlog-manager.yaml from the target repo; runs an init flow to generate it if missing. DRY-RUN by default, pass "apply" to execute writes. Use for recurring backlog grooming / issue triage of any GitHub repo, standalone or driven by /loop. Requires gh CLI with repo + project scopes.
-
vfarcic Skill Dot AI Worktree PrdCreate a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.
-
vfarcic Skill Dot AI ManageorgdataUnified tool for managing cluster data: organizational patterns, policy intents, and resource capabilities. For patterns and policies: supports create, list, get, delete, deleteAll, and search operations (patterns also support step-by-step creation workflow). For capabilities: supports scan, list, get, delete, deleteAll, and progress operations for cluster resource capability discovery and management. Use dataType parameter to specify what to manage: "pattern" for organizational patterns, "policy" for policy intents, "capabilities" for resource capabilities.
-
vfarcic Skill Dot AI Changelog FragmentCreate changelog fragment for release notes. Invoke during /prd-done workflow during the first push to the PR.
-
vfarcic Skill Dot AI Prd Update ProgressUpdate PRD progress based on git commits and code changes, enhanced by conversation context
-
vfarcic Skill Dot AI Prd Update DecisionsUpdate PRD based on design decisions and strategic changes made during conversations
-
skenetechnologies Skill Feature AdoptionWhen the user wants to drive adoption of a specific feature -- including launch planning, discovery mechanisms, adoption funnels, or feature deprecation. Also use when the user says "feature launch," "feature rollout," "underused features," "feature stickiness," or "how to get users to use a feature." For in-product messaging, see in-product-messaging. For onboarding, see product-onboarding.
-
britt Skill Stakeholder UpdatesUse when writing status updates, communicating delays or blockers, announcing launches, or requesting decisions and resources from stakeholders - structures the message by audience level (exec/management/peer/team) with lead-with-the-punchline framing
-
britt Skill Stakeholder TrackingUse when identifying project stakeholders, asked 'who are the stakeholders', checking whether a plan covers all stakeholder goals, or linking GitHub issues to stakeholder needs - maintains persona profiles (goals, pain points, priorities) and generates goal-to-issue coverage reports with gaps
-
britt Bundle Writing Product SpecsUse when asked to write a product spec, PRD, or requirements document, or to design a new feature or project before implementation - interactively elicits problem, audience, success criteria, and scope, then produces a structured spec file
-
qte77 Skill Generating Prd JSON From Prd MdGenerates prd.json task tracking file from PRD.md requirements document. Use when initializing Ralph loop or when the user asks to convert PRD to JSON format for autonomous execution.
-
henkisdabro Bundle Prp GeneratorGenerate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research, identifies patterns, and creates executable validation gates for one-pass implementation success. Do NOT use for client discovery, requirements gathering, or scope definition - those need a separate clarification pass before the PRP step.
-
shir-bruchim Skill Generate PrdGenerates PRDs through guided discovery. Use when starting a feature or defining requirements.
-
shir-bruchim Bundle Spec InterviewInterviews users to build project specs through guided discovery. Use when starting a new project or feature.
-
shir-bruchim Skill Ralph Convert PrdConverts PRDs into prd.json for Ralph. Use when preparing PRDs for Ralph or breaking features into atomic stories.
-
shir-bruchim Bundle Ralph OrchestratorOrchestrates the Ralph pipeline (spec-interview → PRD → execute). Use for features needing autonomous implementation.
-
codescene-oss Skill Making The Business Case For Code HealthUse when a user asks for ROI, stakeholder justification, delivery impact, or defect-risk reduction from improving Code Health in a file.
-
bmad-code-org Bundle Gds PrdCreate, update, validate, or analyze a game project's PRD. Use when the user wants help producing, editing, validating, or analyzing a PRD — often derived from a GDD or prepared for external-tool integration.
-
jona Skill Design Tool Scaling FieldStrategic guidance for design-focused founders and product leaders based on Dylan Field's experience scaling Figma from a WebGL experiment to an 8-product company with 1700 employees. Use when seeking advice on founding design-tool companies, evaluating product-market fit signals, making early startup decisions (launching, pricing, pivoting), understanding how AI changes design's value proposition, integrating designers into AI product development, or applying mental models for startup leadership and product strategy. Triggered by questions about design entrepreneurship, startup scaling, product-market pull vs fit, cold outreach strategies, roadmap planning, or the future of design in AI era.
-
jona Skill AI Scientific Discovery JumperGuidance for building AI systems for scientific discovery, based on lessons from AlphaFold's development. Use when designing ML systems for scientific domains, planning validation strategies using blind benchmarks, deciding how to release scientific AI tools for maximum impact, evaluating data acquisition vs architectural research investment, building tools for domain expert adoption, structuring ML research projects with compute budgeting, or assessing when a scientific AI tool has crossed the relevance threshold for real-world use.
-
wuchubuzai2018 Bundle Haizei Okr WritingOKR 目标与举措撰写及润色技能。当用户需要编写季度 OKR、SMART 目标、PDCA 举措、个人行为描述,或要求将汇报话术改得更实在、更像本人表达时使用。适用于 AI 研发、产品、平台集成和代码质量等工作场景。
-
getsentry Bundle Track Framework UpdatesProduce a weekly digest of upstream framework/library activity (releases, Discussions, RFCs, RSS) for the Sentry JS SDK. Use when asked to "track framework updates", "check framework releases", "what changed upstream", "weekly framework digest", "what's new in React/Next/Nuxt/etc.", or to surface backlog candidates from upstream frameworks. Do NOT use for checking Sentry SDK releases, internal package updates, or individual bug triage.
845 -
gemini-cli-extensions-data-agent-kit-starter-pack Skill GCP Managed Airflow Dag AuthoringGuides the authoring and validation of Apache Airflow DAGs for Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.
-
leonmelamud-inspector-agents Bundle Geo OptimizerThis skill should be used when the user asks to "audit for AI visibility", "optimize for ChatGPT", "check GEO readiness", "analyze hedge density", "generate agentfacts", "check if my site works with AI search", "test LLM crawlability", "check discovery gap", or mentions Generative Engine Optimization, AI crawlers, Perplexity discoverability, or NANDA protocol.
-
iamjcabalejo Skill Requirements DiscoveryStructure requirements discovery and produce PRDs, user stories, and acceptance criteria. Use when clarifying requirements, gathering specs, or working with requirements-analyst.
-
abivan-tech Skill Research DiscoveryFast broad-to-narrow read-only discovery for planning, routing, and review preparation.
-
clyra-ai Bundle Adhoc PlanConvert user-provided recommendations into a timestamped, execution-ready backlog plan using the active repo profile. Use when a repo needs a one-off plan that should not overwrite PLAN_NEXT.
Frequently asked questions
What are Product & Planning agent skills?
Product & planning agent skills structure the thinking side of building: specs, PRDs, user stories, roadmaps, and prioritization frameworks. Install one and your AI agent produces planning documents with the same rigor and format every time.
Which Product & Planning skills are most installed?
Popular Product & Planning skills on SkillMD right now include dot-ai-changelog-fragment, research-discovery, critique-plan. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do Product & Planning skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.