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.
中文简介正在准备中。当前显示英语简介。
- Investigate a stalled workflow
- Check for missing planning or verification files
- Review unfinished work after an interruption
open-gsd/gsd-core☆ 1.1万2026年10月18日 更新
Turn a development phase into an actionable PLAN.md through research, planning, and verification. The skill can incorporate requirements or recorded design decisions, then check and revise the plan before presenting the results.
中文简介正在准备中。当前显示英语简介。
- Planning the next development phase
- Building a plan from requirements or design decisions
- Researching a phase before planning
open-gsd/gsd-core☆ 1.1万2026年10月18日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Preparing an existing project for GSD
- Organizing code findings and existing documentation
- Setting up requirements and a roadmap before implementation
open-gsd/gsd-core☆ 1.1万2026年10月18日 更新
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.
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codeaholicguy/ai-devkit☆ 16482026年10月18日 更新
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.
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borghei/Claude-Skills☆ 9482026年10月7日 更新
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.
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mxyhi/ok-skills☆ 5002026年10月18日 更新
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".
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nicepkg/ai-workflow☆ 2872026年1月20日 更新
🇺🇸 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"
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Gingiris-1031/gingiris-skills☆ 862026年10月15日 更新
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.
中文简介正在准备中。当前显示原文说明。
hoavdc/CodexKit☆ 252026年10月11日 更新
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.
中文简介正在准备中。当前显示原文说明。
shalintripathi/saas-marketing-agents☆ 242026年10月17日 更新
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.
中文简介正在准备中。当前显示原文说明。
PranavNagrecha/AwesomeSalesforceSkills☆ 192026年10月4日 更新
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.
中文简介正在准备中。当前显示原文说明。
modbender/skill-library-mcp☆ 172026年9月28日 更新
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.
中文简介正在准备中。当前显示原文说明。
unempyd/revenueos☆ 72026年9月14日 更新
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'.
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aAAaqwq/openclaw-team☆ 22026年6月18日 更新
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.
中文简介正在准备中。当前显示原文说明。
DrNabeelKhan/maxim☆ 22026年10月16日 更新
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.
中文简介正在准备中。当前显示原文说明。
Lord1Egypt/awesome-skill-forge☆ 22026年6月10日 更新
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".
中文简介正在准备中。当前显示原文说明。
johnalbertini14-glitch/openclaw-skills☆ 22026年2月26日 更新
面向产品或新功能发布,从客户与竞品调研到宣传方向、落地页、邮件、社交平台、广告和短视频文案,统筹内容与发布日程,并检查各渠道的表述和主张是否一致。
- 策划产品或新功能发布
- 根据产品简介撰写各渠道文案
- 统一多个渠道的宣传主张
affaan-m/ECC☆ 28.4万2026年10月16日 更新
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.
中文简介正在准备中。当前显示英语简介。
- 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☆ 28.4万2026年10月16日 更新
浏览并整理Itô篮子与预测市场数据,对照选定的研究笔记或观察清单,生成附有来源和时间的市场概况,以及供人工审核的计划表。
- 查看Itô篮子目录
- 对照研究笔记或观察清单
- 编写附有来源的预测市场概况
affaan-m/ECC☆ 28.4万2026年10月16日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Sorting and prioritizing incoming GitHub issues
- Splitting large issues among AI agents
- Synchronizing task progress with project boards
ruvnet/RuView☆ 9.9万2026年10月18日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Incorporating new decisions into an existing change plan
- Checking planning documents for contradictions
- Reconciling related documents after an edit
Fission-AI/OpenSpec☆ 7.2万2026年10月17日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Planning a large feature before coding
- Turning a vague request into defined tasks
- Preparing an implementation handoff
code-yeongyu/oh-my-openagent☆ 7万2026年10月19日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Checking past decisions before planning work
- Answering with previously recorded user preferences
- Finding context saved by other Bots or AI tools
vectorize-io/hindsight☆ 5.1万2026年10月17日 更新