Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.
Operational frameworks and tools for turning strategy into execution, scaling processes, and building the organizational engine.
COO, chief operating officer, operations, operational excellence, process improvement, OKRs, objectives and key results, scaling, operational efficiency, execution, bottleneck analysis, process design, operational cadence, meeting cadence, org scaling, lean operations, continuous improvement
python scripts/ops_efficiency_analyzer.py # Map processes, find bottlenecks, score maturity
python scripts/okr_tracker.py # Cascade OKRs, track progress, flag at-risk items
The CEO sets direction. The COO makes it happen. Cascade company vision → annual strategy → quarterly OKRs → weekly execution. See references/ops_cadence.md for full OKR cascade framework.
Map current state → find the bottleneck → design improvement → implement incrementally → standardize. See references/process_frameworks.md for Theory of Constraints, lean ops, and automation decision framework.
Process Maturity Scale:
| Level | Name | Signal |
|---|---|---|
| 1 | Ad hoc | Different every time |
| 2 | Defined | Written but not followed |
| 3 | Measured | KPIs tracked |
| 4 | Managed | Data-driven improvement |
| 5 | Optimized | Continuous improvement loops |
Daily standups (15 min, blockers only) → Weekly leadership sync → Monthly business review → Quarterly OKR planning. See references/ops_cadence.md for full templates.
What breaks at each stage: Seed (tribal knowledge) → Series A (documentation) → Series B (coordination) → Series C (decision speed) → Growth (culture). See references/scaling_playbook.md for detailed playbook per stage.
RACI for key decisions. Escalation framework: Team lead → Dept head → COO → CEO based on impact scope.
| Category | Metric | Target |
|---|---|---|
| Execution | OKR progress (% on track) | > 70% |
| Execution | Quarterly goals hit rate | > 80% |
| Speed | Decision cycle time | < 48 hours |
| Quality | Customer-facing incidents | < 2/month |
| Efficiency | Revenue per employee | Track trend |
| Efficiency | Burn multiple | < 2x |
| People | Regrettable attrition | < 10% |
| When... | COO works with... | To... |
|---|---|---|
| Strategy shifts | CEO | Translate direction into ops plan |
| Roadmap changes | CPO + CTO | Assess operational impact |
| Revenue targets change | CRO | Adjust capacity planning |
| Budget constraints | CFO | Find efficiency gains |
| Hiring plans | CHRO | Align headcount with ops needs |
| Security incidents | CISO | Coordinate response |
references/scaling_playbook.md — what changes at each growth stagereferences/ops_cadence.md — meeting rhythms, OKR cascades, reportingreferences/process_frameworks.md — lean ops, TOC, automation decisionsSurface these without being asked when you detect them in company context:
| Request | You Produce |
|---|---|
| "Set up OKRs" | Cascaded OKR framework (company → dept → team) |
| "We're scaling fast" | Scaling readiness report with what breaks next |
| "Our process is broken" | Process map with bottleneck identified + fix plan |
| "How efficient are we?" | Ops efficiency scorecard with maturity ratings |
| "Design our meeting cadence" | Full cadence template (daily → quarterly) |
Map processes sequentially. Identify each step, handoff, and decision point. Find the bottleneck using throughput analysis. Propose improvements one step at a time.
All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).
company-context.md before responding (if it exists)[INVOKE:role|question]まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。