Investigate failed or stuck GSD workflows using Git history, planning documents, and file state. Produce a structured diagnostic report with evidence, detected anomalies, and recommendations to help identify causes and decide corrective actions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Investigate a stalled workflow
- Check for missing planning or verification files
- Review unfinished work after an interruption
open-gsd/gsd-core☆ 1.1만2026년 10월 19일 업데이트
Prepare an existing codebase for GSD planning by mapping its structure, ingesting documentation, and initializing project records. The workflow creates or confirms planning files and produces an onboarding summary with findings and the next command to run.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Preparing an existing project for GSD
- Organizing code findings and existing documentation
- Setting up requirements and a roadmap before implementation
open-gsd/gsd-core☆ 1.1만2026년 10월 19일 업데이트
Clarify implementation choices before planning a development phase. The skill reviews existing project context and code, asks about unresolved decisions, and records the answers in a context file for research and planning agents.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Clarifying unresolved specifications before planning
- Discussing only decisions that remain open
- Documenting implementation choices for other agents
open-gsd/gsd-core☆ 1.1만2026년 10월 19일 업데이트
AI DevKit · Planning phase guidance for creating and reconciling feature task plans. Use when the user wants to create an implementation plan, update planning docs, mark task progress, capture blockers or new tasks, or run dev-lifecycle planning work.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
codeaholicguy/ai-devkit☆ 1.6천2026년 10월 18일 업데이트
Headcount and delivery-capacity planning — effective capacity from raw headcount, hire/contract/defer scenarios, and capacity-vs-commitment gap reports. Use when planning a quarter, sizing a hiring ask, or testing whether a roadmap fits.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
borghei/Claude-Skills☆ 9482026년 10월 7일 업데이트
Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
mxyhi/ok-skills☆ 5002026년 10월 18일 업데이트
Use when planning with fixed deadline or target outcome, working backward from future goal to present, defining milestones and dependencies, mapping critical path, identifying what must happen when, planning product launches with hard dates, multi-year strategic roadmaps, event planning, transformation initiatives, or when user mentions "backcast", "work backward from", "reverse planning", "we need to launch by", "target date is", or "what needs to happen to reach".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
nicepkg/ai-workflow☆ 2872026년 1월 20일 업데이트
🇺🇸 Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. 🇨🇳 你的研发团队在做没人要的新功能,用户反馈的 Bug 堆了三个月没人动。运营觉得研发不听用户,研发觉得运营不懂技术。这份 SOP 给你从统一看板到 10 天迭代节奏到一票否决权的完整产研运协同框架。 🇯🇵 開発チームは誰も求めていない機能を作り、ユーザーから報告されたバグは何ヶ月も放置。このSOPは、統一バックログから10日スプリント、リリース拒否権まで、プロダクト×エンジニアリング×オペレーションの完全な連携フレームワークを提供します。 🇰🇷 개발팀은 아무도 요청하지 않은 기능을 만들고, 사용자가 보고한 버그는 몇 달째 방치됩니다. 이 SOP는 통합 백로그부터 10일 스프린트, 릴리스 거부권까지 제품×개발×운영 완전 협업 프레임워크를 제공합니다. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "产研运协同" | "迭代管理" | "产品研发运营" | "プロダクト開発運営" | "제품개발운영"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Gingiris-1031/gingiris-skills☆ 862026년 10월 15일 업데이트
Facilitate sprint planning by organizing backlog items, estimating effort, balancing capacity, identifying dependencies, and producing a sprint commitment summary. Use when teams need structured sprint planning output. Do not use for strategic roadmap planning, annual budgeting, or product vision work.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
hoavdc/CodexKit☆ 252026년 10월 11일 업데이트
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
shalintripathi/saas-marketing-agents☆ 242026년 10월 17일 업데이트
Use this skill when configuring FSC financial planning objects, designing periodic review cycles, modeling risk assessment workflows, or tracking goal progress in Financial Services Cloud. Trigger keywords: FinancialGoal, FinancialPlan, goal tracking, risk tolerance, review cycle, financial planning workflow, Discovery Framework, Revenue Insights. NOT for wealth management process discovery — use admin/wealth-management-requirements. NOT for Action Plan template mechanics — use admin/fsc-action-plans.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
PranavNagrecha/AwesomeSalesforceSkills☆ 192026년 10월 4일 업데이트
This skill should be used when the user asks to 'plan my day', 'help me plan today', 'morning planning', 'what should I work on today', 'daily planner', 'evening reflection', 'reflect on my day', 'migrate tasks', 'carry tasks forward', 'rapid log', 'brain dump my tasks', or mentions ADHD-friendly planning, time-blindness, swim lanes, energy-based task management, bullet journal for ADHD, or dopamine menu. Provides a BuJo-style daily planning system with swim lanes, migration, reflection, and dopamine rewards. Part of the ADHD-founder.com ecosystem.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
modbender/skill-library-mcp☆ 172026년 9월 28일 업데이트
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
unempyd/revenueos☆ 72026년 9월 14일 업데이트
Guide a startup to set a single quantified traction goal and define the critical path of milestones to reach it. Use whenever a founder needs to prioritize activities, set growth goals, define milestones, decide what NOT to work on, plan quarterly/yearly execution, cascade goals to teams, escape the 'too many things to do' trap, or apply a binary on-path/off-path filter to proposed work. Activates on phrases like 'traction goal', 'critical path', 'what should we focus on', 'too many priorities', 'prioritization', 'milestones', 'quarterly planning', 'yearly goals', 'OKRs', 'where should I spend my time', 'what NOT to do', 'company planning', 'goal setting', 'DuckDuckGo', 'roadmap'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aAAaqwq/openclaw-team☆ 22026년 6월 18일 업데이트
Manus-style file-based planning for complex tasks. Creates and maintains task_plan.md, findings.md, and progress.md under .kiro/plan/. Use when planning, breaking down work, resuming a multi-step task, tracking phases, or restoring context after compaction. Trigger phrases include start planning, continue task, resume work, current phase, restore context.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
DrNabeelKhan/maxim☆ 22026년 10월 16일 업데이트
This skill should be used when the user asks to 'plan my day', 'help me plan today', 'morning planning', 'what should I work on today', 'daily planner', 'evening reflection', 'reflect on my day', 'migrate tasks', 'carry tasks forward', 'rapid log', 'brain dump my tasks', or mentions ADHD-friendly planning, time-blindness, swim lanes, energy-based task management, bullet journal for ADHD, or dopamine menu. Provides a BuJo-style daily planning system with swim lanes, migration, reflection, and dopamine rewards. Part of the ADHD-founder.com ecosystem.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Lord1Egypt/awesome-skill-forge☆ 22026년 6월 10일 업데이트
Complete OKR & Strategy Execution system — from company vision to weekly execution. Covers goal hierarchy, OKR writing methodology, scoring rubrics, alignment cascading, KPI dashboards, review cadences, team accountability, and quarterly planning rituals. Use when setting goals, running planning cycles, tracking OKRs, building KPI dashboards, running retrospectives, or aligning team work to strategy. Trigger on: "OKR", "objectives", "key results", "goal setting", "quarterly planning", "KPIs", "strategy execution", "annual planning", "team goals", "alignment", "review cadence", "what should we focus on", "prioritize", "goal tracking", "north star metric".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
johnalbertini14-glitch/openclaw-skills☆ 22026년 2월 26일 업데이트
제품이나 새 기능 출시를 위해 고객과 경쟁사를 조사하고 홍보 방향을 정합니다. 랜딩 페이지, 이메일, 소셜 미디어, 광고, 짧은 영상 원고와 게시 일정을 만들고 채널별 표현과 주장을 점검합니다.
- 제품이나 새 기능 출시 기획
- 제품 개요로 채널별 원고 제작
- 여러 채널의 홍보 메시지 통일
affaan-m/ECC☆ 28.4만2026년 10월 16일 업데이트
Plan or troubleshoot a home network or small home lab. Clarifies router, switch, and Wi-Fi access point roles, then covers cabling, IP address ranges, automatic address assignments, and local names to support stable connections and future expansion.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Planning a home network and assigning device roles
- Keeping NAS and server addresses and local names stable
- Troubleshooting unstable Wi-Fi, double NAT, or duplicate DHCP
affaan-m/ECC☆ 28.4만2026년 10월 16일 업데이트
Itô 바스켓과 예측 시장 데이터를 살펴보고 정리합니다. 선택한 조사 메모와 비교하고, 출처가 있는 시장 개요와 사람이 검토할 계획표를 작성합니다.
- Itô 바스켓 목록 확인
- 조사 메모 및 관심 목록과 비교
- 출처가 있는 예측 시장 개요 작성
affaan-m/ECC☆ 28.4만2026년 10월 16일 업데이트
Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Sorting and prioritizing incoming GitHub issues
- Splitting large issues among AI agents
- Synchronizing task progress with project boards
ruvnet/RuView☆ 9.9만2026년 10월 19일 업데이트
Revise an existing OpenSpec change plan and reconcile related planning documents. Incorporate new decisions, identify contradictions or gaps, and apply proposed document edits after confirmation, while leaving implementation code untouched.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Incorporating new decisions into an existing change plan
- Checking planning documents for contradictions
- Reconciling related documents after an edit
Fission-AI/OpenSpec☆ 7.2만2026년 10월 19일 업데이트
Turn a broad coding request into a concrete work plan grounded in the codebase. After user approval, it documents affected files, decisions, dependencies, and verification steps so a separate worker can carry out the implementation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Planning a large feature before coding
- Turning a vague request into defined tasks
- Preparing an implementation handoff
code-yeongyu/oh-my-openagent☆ 7만2026년 10월 19일 업데이트
Retrieve relevant Hindsight memories before planning or answering a request. Searches the agent’s own and shared memory stores, plus other relevant stores when needed, to bring past decisions, user preferences, and project context into the task.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking past decisions before planning work
- Answering with previously recorded user preferences
- Finding context saved by other Bots or AI tools
vectorize-io/hindsight☆ 5.1만2026년 10월 19일 업데이트