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.
-
themarmack Skill Reading Queue SummarizerTriage and summarize a backlog of saved articles / papers. For each item — 1-paragraph summary, salient quotes, vault connections, and a verdict (promote to a research note / capture as an insight / dismiss / defer). Especially useful after a busy intelligence-digest week when the user has marked items for follow-up reading. Output at vault/insights/YYYY-MM-DD-reading-triage-{slug}.md plus per-item promotion notes where applicable. Use when the user asks to triage, clear, or summarize their reading queue, saved articles, or marked follow-up items.
-
themarmack Skill Stakeholder Update WriterProduce a tiered stakeholder update from raw progress notes + recent vault activity. Outputs three tiered versions in one go — exec (CIO/CISO/eng VP), eng lead (managers, principal engineers), IC (individual developers) — each tuned to that audience's decision authority, time budget, and what they actually need to act on. Composes on vault-querier (pulls last N days of digests/research/decisions for context), digest-writer's section conventions (TL;DR / What Changed), and the user's raw notes. Lands at vault/insights/YYYY-MM-DD-stakeholder-update-{slug}.md. Use when the user asks to write, draft, or put together a stakeholder update, a status update, a progress update, or an update for exec / eng-lead / IC audiences — any time raw progress notes need to become an audience-ready update. A single-audience summary of one research note routes to executive-summary-writer; a leadership decision ask routes to decision-memo-writer.
-
jpcaparas Bundle RipgrepPrefer ripgrep (`rg`) for text search, recursive codebase search, filename discovery with `rg --files`, and machine-readable search output. Trigger on search, grep, ripgrep, rg, find files, or look for pattern. Do NOT use for full-file reads or JSON queries better handled by jq.
-
jpcaparas Bundle IsitagentreadyAudit a repo against Cloudflare/isitagentready signals for AI agent readiness: robots.txt, llms.txt, Markdown negotiation, MCP/API catalogs, OAuth discovery, WebMCP, and browser-agent usability. Do NOT use for generic SEO or single-standard questions.
-
harlieunadjusted52 Bundle Cloud Monitoring Chart GenerationGenerates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.
-
harlieunadjusted52 Bundle Google Cloud Global Frontend ConfigurationGuides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).
-
seemseam Skill Role ResearchPlan and run evidence-backed research before designing an Agent Role; use for broad role ideas, skill/tool discovery, source discovery, maintained example comparison, and research briefs that must cite inspected sources before Role source is written.
-
craftos-dev Bundle Compliance Cert PlannerPlan and sequence security and privacy compliance certifications (SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, CASA, etc.). Use when the user needs to scope which frameworks apply, classify each one, identify shared controls, and produce a roadmap.
-
kangraemin Bundle Create Spec제품 기획부터 기술 설계, 디자인까지 3종 문서를 한번에 생성하는 스킬. PRD(기획서), TECHNICAL(기술문서), DESIGN(디자인문서)을 이것만 보고 개발을 완료할 수 있는 수준으로 작성한다. stitch MCP로 실제 스크린을 생성하고 디자인 문서에 포함한다. 사용자가 "PRD 써줘", "기획서 만들어줘", "스펙 문서", "create-spec", "제품 문서", "기술 문서 작성" 등을 말하면 반드시 이 스킬을 사용할 것. 새 프로젝트 시작, 기능 기획, MVP 설계 시에도 트리거.
-
lingtai-ai Skill Swiss KnifeUmbrella router for small, focused CLI tools: minimax-cli for MiniMax media/TTS/vision; vision for image OCR/critique; listen for local audio transcription and music analysis; academic-research for papers, citation networks, and LaTeX; dj for music generation; token-usage for token/cost and API-call trend reports; html-report for standalone browser deliverables; xiaomi-mimo and zhipu-coding-plan for provider discovery; headless-bot for provisioning fresh LingTai bot projects (e.g. Telegram); find-something-to-do for idle curiosity; preset-health for read-only saved-preset health checks. Each nested reference is self-contained under `reference/<name>/SKILL.md`.
-
lingtai-ai Skill Xiaomi MimoNested swiss-knife reference for Xiaomi MiMo provider discovery. Discovery protocol (not a reference) for Xiaomi MiMo (小米MiMo) — an OpenAI-/Anthropic-compatible LLM provider whose single API key unlocks a family of ~9 models behind one chat-completions endpoint. The family spans long-context text reasoning, multimodal-input chat (image / audio / video understanding via standard `messages.content[]`), and a text-to-speech line that returns base64 audio (with built-in voice catalogue, voice-design-from-prompt, and voice-cloning-from-sample variants). Marketing surface lives at https://mimo.xiaomi.com; the developer docs are at https://platform.xiaomimimo.com — and the agent should fetch the live docs rather than trust this manual for anything schema-shaped, because the API surface evolves. This skill teaches the agent (1) which two URLs to start from, (2) how to enumerate the current model lineup, (3) how to source the API key from the user's preset library, (4) how to pick the right base URL for their key (pay
-
lingtai-ai Skill Tutorial Guide OrientationNested tutorial-guide reference for lessons 1–3: welcome, live architecture discovery, global directory, project directory, and agent working directory.
-
maziyarpanahi Skill Pick A Pii ModelSelect an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment. Use when an agent must choose a local PII detector for CPU, Apple Silicon, or a mobile export without relying on live model discovery.
-
jpcaparas Bundle Product QuestionAnswer product, PM, stakeholder, or non-engineer questions about app behavior by inspecting code and returning a share-ready plain-English answer. Trigger on product question, PM question, stakeholder answer, how a feature works, or why the app behaves that way. Do NOT use for code changes.
-
jpcaparas Bundle Client Report From CommitsTurn git commits and diffs since an exact date into a copy-pastable, non-technical client report grouped by feature. Use for client updates, weekly progress, stakeholder recaps, or high-level git-history summaries. Do NOT use when the date is ambiguous.
-
cloudposse Skill DocsDocs: contributor documentation conventions for Atmos website docs, CLI command docs, configuration pages, action cards, changelog, roadmap, and stale-content checks
Audited -
cloudposse Skill RoadmapMaintain and update the Atmos roadmap page (website/src/data/roadmap.js): milestone/initiative/quarter schema, progress-percentage math, the curated featured[] cap (max 6, never auto-modified), and the no-changelog-for-internal-refactors gate. Invoke when adding/updating milestones, initiatives, or quarters, or linking a milestone to a changelog post.
-
cloudposse Skill EditionsDecide whether a PR's new or changed default needs edition-journal handling (pkg/edition, docs/prd/editions.md), and do the mechanical work if so: journal entries, the four-layer default check, snapshot/invariant regeneration, and the post-editions KindBehavior candidate note for behavior changes the journal can't gate yet. Invoke whenever a PR changes what a config key defaults to, or changes what an existing stored value effectively means.
-
cloudposse Skill Pull RequestPR workflow: pick the right semver label (no-release / patch / minor / major), decide when to add a changelog blog post, when to update the roadmap, and how to do each correctly. Invoke before opening a PR or when touching an existing PR's release docs.
-
cloudposse Bundle Atmos LintAtmos Terraform linting with TFLint: standalone `atmos terraform lint`, component-aware config discovery and toolchain versions, TFLint rule configuration, and lifecycle hooks/CI findings. Use when configuring, running, debugging, or documenting Terraform/OpenTofu linting in an Atmos project.
-
cloudposse Bundle Atmos ConfigAtmos root configuration: atmos.yaml discovery, precedence, deep merging, base_path, imports, minimal bootstrap, and routing to narrower Atmos skills
-
natthasath Skill Gatherรวบรวมและจัดโครงสร้าง Requirement ของระบบผ่านการตั้งคำถามกับ stakeholder อย่างเป็นระบบ ใช้ skill นี้ทันทีเมื่อผู้ใช้ต้องการเก็บ requirement, สัมภาษณ์ stakeholder, หรือวิเคราะห์ความต้องการของระบบ เช่น "ไม่รู้จะถามอะไรดี", "ต้องประชุมกับผู้บริหาร", "ช่วยเก็บ requirement หน่อย" เรียกใช้ผ่าน `/gather` เท่านั้น — ไม่ auto-trigger จากบทสนทนา ใช้ต่อจาก /kickoff → ถัดไป /analyze
-
natthasath Skill Add Taskเพิ่ม task ใหม่เข้า backlog พร้อม Acceptance Criteria โดยร่าง, ขอ confirm แล้วค่อยบันทึก ใช้ skill นี้เมื่อต้องการเพิ่มงานใหม่เข้าโปรเจค เช่น "เพิ่ม task", "อยากทำเรื่อง...", "บันทึก feature ใหม่"
-
natthasath Skill Add Phaseเพิ่ม development phase ใหม่เข้าโปรเจค พร้อมสร้าง phase plan, backlog file และ archive section ใช้ skill นี้เมื่อต้องการแบ่งโปรเจคเป็นช่วงๆ เช่น "เพิ่ม phase ใหม่", "เริ่ม phase ถัดไป"
-
natthasath Skill Done TaskMark task ว่าเสร็จแล้ว ย้ายออกจาก sprint เข้า archive และอัปเดต backlog status ใช้ skill นี้หลัง /ship ผ่านแล้ว เช่น "task นี้เสร็จแล้ว", "ปิด task", "done"
-
natthasath Skill List Taskแสดง task list ทั้งหมด ได้แก่ in progress, backlog แยกตาม priority และ feature requests กรองด้วย keyword หรือ priority ได้ ใช้ skill นี้เมื่อต้องการดู task ที่มีอยู่ เช่น "task ทั้งหมดมีอะไรบ้าง", "ดู backlog"
-
natthasath Skill Start Taskเริ่มทำงาน task โดยย้าย task จาก backlog เข้า sprint และแนะนำชื่อ git branch ที่ควรสร้าง ใช้ skill นี้ก่อน /checkpoint และ /implement เช่น "เริ่ม task นี้", "start task", "จะทำ task นี้แล้ว"
-
farmountain Bundle Prd AgentPRD Generator Agent
-
farmountain Bundle Backlog ManagerBacklog Manager Agent
-
farmountain Bundle Stakeholder AgentStakeholder Agent
-
maziyarpanahi Skill Scaffolding Smart On FhirScaffold a SMART-on-FHIR app (SMART App Launch v2 — EHR launch and standalone launch, OAuth2 PKCE, scopes, token handling, fhirContext) so an OpenMed-powered tool can run inside Epic or Cerner/Oracle Health. Covers the .well-known/smart-configuration discovery, authorize/token sequence, scopes like patient/DocumentReference.rs and launch/patient, and fetching clinical notes the app then de-identifies and runs NER on locally with OpenMed. Use when the user wants to embed OpenMed inside an EHR, mentions SMART on FHIR, OAuth2 launch, scopes, Epic/Cerner app, or clinician-facing FHIR app. Pairs adjacent.
Audited -
vaquarkhan Skill Openmetadata Datahub And OpenlineageGuides agents through metadata platform and lineage workflows using OpenMetadata, DataHub, or OpenLineage-compatible systems. Use when improving discovery, lineage quality, metadata governance, or producer-to-catalog integration.
-
vaquarkhan Skill Incident Triage And Pipeline RecoveryGuides agents through production data incidents. Use when a pipeline fails, publishes bad data, misses an SLA, partially loads, corrupts state, or requires rollback, replay, or stakeholder communication.
-
kirkruglov Bundle Okr Progress NarratorTransform raw OKR data (metrics, percentages, notes) from files or pasted text into a readable narrative progress update for stakeholders. Use when preparing weekly or quarterly OKR reports, board updates, or team syncs. Triggers: 'okr update', 'narrate okr progress', 'stakeholder okr update', 'generate okr report', 'okr status update', 'окр апдейт', 'нарратив по OKR', 'прогресс-апдейт для стейкхолдеров', 'оформи OKR', 'прогресс по целям'.
-
kirkruglov Bundle Weekly Competitor TrackerTrack weekly competitor changes and generate a delta-report from your markdown notes. Compares current files vs. last-week snapshot — no APIs, no code required. Use for Monday reviews, roadmap prep, or strategy meetings. Triggers: 'track competitor changes', 'weekly competitor report', 'что изменилось у конкурентов', 'отследи изменения конкурентов', 'дельта-отчёт по конкурентам'.
-
kirkruglov Bundle Team Update AggregatorAggregate weekly team member updates from local .md/.txt files into a people-centric status report for managers. Organizes content by person (not by project): progress, plans, blockers, capacity, and manager flags. Use when preparing for 1-on-1s, weekly team reviews, or building a team tracker. Triggers: 'aggregate team updates', 'compile team status', 'team weekly report', 'агрегируй обновления команды', 'статус команды', 'составь отчёт по команде'.
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 reading-queue-summarizer, stakeholder-update-writer, ripgrep. 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.