Skip to main content Skills Marketplace コミュニティが作成したAIスキルを発見・探索
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill super-skillsコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか?SkillsMP が現在取得できるファイルをダウンロードできます。
Zipをダウンロード ダウンロード中... このリポジトリの他の Skills Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
name super-skills description Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills, and creates new skills when needed. version 1.4.0 author 10e9928a tags ["task-decomposition","skill-generation","workflow-automation","orchestration"] trigger always
Super Skills
Quick Reference
┌─────────────────────────────────────────────────────────────┐
│ 🎯 Core: Understand → Plan → Execute → Iterate │
│ 🚨 Rule: Problem → Analyze → Solve → Continue (NEVER WAIT) │
│ 📊 Complexity: 4-8 Direct | 9-14 Staged | 15-20 Iterative │
└─────────────────────────────────────────────────────────────┘
Core Philosophy
Principle Description Understand First Deeply analyze requirements before acting
Produce verifiable intermediate results at each step
Expect Failures Design recovery mechanisms for every stage
Never Stop Solve problems proactively; NEVER pause waiting for user
Workflow UNDERSTAND ──→ PLAN ──→ EXECUTE ──→ ITERATE
│ │ │ │
Multi-layer Task Search & Feedback
Analysis Breakdown Install Adjustment
Complexity Risk ID Checkpoint Optimize
Phase 1: Understanding
1.1 Multi-Layer Analysis understanding:
surface:
request: "{user's exact words}"
keywords: [key terms ]
intent:
goal: "{what user really wants}"
success: "{success criteria}"
context:
env: "{OS/language/framework}"
constraints: "{time/resources/permissions}"
hidden:
assumptions: "{implicit assumptions}"
edge_cases: "{boundary conditions}"
1.2 Requirement Handling Type Action Explicit Execute directly Implicit Proactively supplement Ambiguous State assumptions, choose most likely interpretation Conflicting Point out conflict, request clarification Out of Scope Explain why, provide alternatives
1.3 Complexity Score Dimensions (1-5 each):
technical + scope + uncertainty + dependencies = total
Strategy:
4-8 → Direct execution
9-14 → Staged verification
15-20 → Iterative prototyping
1.4 Clarification Confidence ≥70%: State assumptions → Continue → Leave adjustment points
Confidence <70%: Provide options for user to choose (NO open-ended questions)
Phase 2: Planning
2.1 Task Structure task:
id: 1
name: "{task name}"
capability: "{capability type}"
input: [required inputs ]
output: "{type/format}"
depends_on: [prerequisite task IDs ]
timeout: "30s"
retries: 3
validation: "{success condition}"
fallback: "{alternative approach}"
2.2 Dependency Graph [1:Setup] → [2:Auth] → [3:Fetch] ─┐
↓
[4:Process] ← [5:Transform] ← [6:Parse]
↓
[7:Output]
Critical Path: 1→2→3→6→5→4→7
Parallel Opportunities: Independent tasks can run concurrently
2.3 Capability Map Capability Status Keywords browser_automation❌ browser, puppeteer, playwright api_integration❌ api, rest, {service} data_extraction⚠️ parse, pdf, ocr message_delivery❌ slack, discord, email database_operations❌ sql, mongodb deployment❌ deploy, docker, k8s data_transformation✅ — content_generation✅ — code_execution✅ — scheduling✅ —
✅ Built-in | ⚠️ Complex | ❌ Skill required
Phase 3: Skill Acquisition
1. npx skills find {service_name}
2. npx skills find {capability} {domain}
3. https://skills.sh/
npx skills add <skill> -g
Evaluation Criteria Dimension Weight Feature match 40% Documentation quality 20% Maintenance status 20% Community validation 10% Dependency simplicity 10%
Phase 4: Risk & Resilience
4.1 Risk Matrix Risk Detection Auto-Resolution Token expired 401/403 Refresh → Re-auth → Degrade Rate limited 429 Backoff → Cache → Degrade Timeout Timeout Increase → Reduce batch → Chunk Parse error Parse Error Switch parser → Regex → Raw text Connection failed Connection Retry → Proxy → Offline mode Missing dependency Import Error Auto-install → Alternative pkg → Inline
4.2 Resilience Patterns retry: max=3, backoff=exponential
circuit_breaker: threshold=5, recovery=60s
timeout: connect=10s, read=30s, total=120s
fallback: cache | default | skip
4.3 Checkpoints checkpoint:
trigger: after_each_task
content: [task_id , state , data , timestamp ]
recovery: Load checkpoint → Validate → Resume from failure point
Phase 5: Execution
5.0 🚨 Problem Solving (CRITICAL) On problem → Analyze → Solve → Continue. NEVER pause waiting.
Problem → Diagnose type → Analyze cause → Try solutions by priority → Continue
↓
Plan A fails → Plan B → Plan C → Degraded solution
Auto-Fix Table Problem Auto-Resolution (in order) Missing dependency Install → Alternative pkg → Inline Permission denied Adjust perms → Alternative path → Minimal perms API failure Retry (backoff) → Switch endpoint → Cache → Degrade Timeout Increase timeout → Reduce batch → Chunk → Async Parse error Switch parser → Regex → Raw text Auth failure Refresh token → Re-auth → Backup credentials Resource exhausted Chunk → Clear cache → Stream → Reduce concurrency Network issue Retry → Switch network → Proxy → Offline File not found Create → Default value → Skip
Mindset forbidden:
- "I encountered a problem and need your help"
- "Execution paused, waiting for instructions"
required:
- "Encountered X issue, trying Y solution"
- "Plan A failed, switching to Plan B"
- "Problem resolved, continuing execution"
Escalation (ONLY when ALL conditions met)
Tried ≥3 different solutions
All failed
Goal completely unachievable
No acceptable degraded solution available
5.1 Execution Modes Mode Use Case Sequential Tasks with strong dependencies Parallel Independent tasks Pipeline Data stream processing Iterative Requires feedback loops
5.2 Progress Template ══════════════════════════════════════
📊 PROGRESS
══════════════════════════════════════
Phase 1: Setup [████████░░] 80%
✅ Task 1: Initialize Done (2.3s)
🔄 Task 2: Fetch Running...
⏳ Task 3: Process Waiting
──────────────────────────────────────
⏱️ Elapsed: 3m | ETA: ~5m
══════════════════════════════════════
Phase 6: Iteration
Feedback Loop Collect feedback → Analyze issues → Adjust approach → Loop
Adjustment Levels Level Actions Minor Parameter tuning, format adjustment Moderate Replace skills, add/remove tasks Major Redesign architecture
Execution Plan Template ════════════════════════════════════════════════════
📋 SUPER SKILLS PLAN
════════════════════════════════════════════════════
🎯 REQUEST: {user's exact words}
📊 UNDERSTANDING
────────────────────────────────────────────────────
Intent: {true intent}
Success: {success criteria}
Complexity: {score} → {strategy}
Assumptions:
• {assumption 1}
• {assumption 2}
────────────────────────────────────────────────────
📋 TASKS
────────────────────────────────────────────────────
│ ID │ Task │ Capability │ Status │ Risk │
├────┼────────────┼─────────────┼────────┼──────┤
│ 1 │ {task} │ {capability}│ ✅/📦 │ 🟢/🔴│
Status: ✅ Built-in | 🔧 Found | 📦 Create
Risk: 🟢 Low | 🟡 Medium | 🔴 High
────────────────────────────────────────────────────
🔧 SKILLS
────────────────────────────────────────────────────
npx skills add {skill} -g
────────────────────────────────────────────────────
🛡️ RESILIENCE
────────────────────────────────────────────────────
Checkpoints: □ After Phase 1 □ After Phase 2
Fallbacks: {task} → {alternative}
────────────────────────────────────────────────────
✅ COMPLETION
────────────────────────────────────────────────────
□ {acceptance criterion 1}
□ {acceptance criterion 2}
════════════════════════════════════════════════════
Example: E-commerce Pipeline
understanding:
intent: "Automated price monitoring for pricing decisions"
success: "Daily price trend visualization report received"
complexity:
technical: 4 , scope: 4 , uncertainty: 3 , dependencies: 4
total: 15 → Iterative prototyping strategy
tasks:
1 . Configure product list → file_operations ✅
2 . Multi-platform scraping → browser_automation ❌
3 . Data persistence → database_operations ❌
4 . Data cleaning → data_transformation ✅
5 . Trend analysis → code_execution ✅
6 . Generate charts → content_generation ✅
7 . Generate report → content_generation ✅
8 . Send email → message_delivery ❌
resilience:
checkpoints: [after:2 save:raw_data ] [after:5 save:analysis ]
fallbacks:
task_2: "Skip failed platforms, continue with others"
task_8: "Save to local file"
Error Handling (Every error has auto-resolution) Phase Error Auto-Resolution Analysis Unclear requirements Choose most likely → State assumptions → Leave adjustment points Analysis Beyond capability Search alternatives → Combine capabilities → Partial implementation Planning Circular dependency Break weakest link → Merge tasks Search Skill not found Expand keywords → Online search → Auto-create Install Installation failed Switch registry → Manual clone → Inline implementation Execution Auth failure Refresh → Re-auth → Degrade to public data Execution Rate limited Backoff → Switch account → Use cache Execution Timeout Increase timeout → Reduce batch → Skip and continue Validation Result mismatch Retry with adjusted params → Relax validation → Mark for review
Best Practices Phase Principles Understanding Multi-layer analysis, proactive assumptions, complexity assessment Planning Architecture first, clear dependencies, upfront risk identification Execution NEVER STOP , try multiple solutions, graceful degradation, incremental verificationIteration Fast feedback, continuous optimization, knowledge accumulation
Resources
CLI: npx skills --help
Browse: https://skills.sh/
Capabilities: references/capability_types.md
Template: assets/skill_template.md