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ECC

github.com/affaan-m/ECC

SkillAddedReview
connections-optimizer

skills/connections-optimizer/SKILL.md

Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.

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content-engine

.agents/skills/content-engine/SKILL.md

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

70

content-engine

.cursor/skills/content-engine/SKILL.md

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

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content-engine

skills/content-engine/SKILL.md

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

65

content-hash-cache-pattern

.kiro/skills/content-hash-cache-pattern/SKILL.md

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

57

content-hash-cache-pattern

skills/content-hash-cache-pattern/SKILL.md

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.

63

context-budget

skills/context-budget/SKILL.md

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it need to be identified.

67

continuous-agent-loop

skills/continuous-agent-loop/SKILL.md

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.

52

continuous-learning

docs/es/skills/continuous-learning/SKILL.md

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.

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continuous-learning

skills/continuous-learning/SKILL.md

[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instead.

52

continuous-learning

docs/ja-JP/skills/continuous-learning/SKILL.md

Claude Codeセッションから再利用可能なパターンを自動的に抽出し、将来の使用のために学習済みスキルとして保存します。

43

continuous-learning

docs/zh-TW/skills/continuous-learning/SKILL.md

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

48

continuous-learning

docs/zh-CN/skills/continuous-learning/SKILL.md

自动从Claude Code会话中提取可重复使用的模式,并将其保存为学习到的技能以供将来使用。

63

2.25x
continuous-learning-v2

docs/es/skills/continuous-learning-v2/SKILL.md

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos con alcance de proyecto para prevenir contaminación entre proyectos.

49

continuous-learning-v2

docs/zh-CN/skills/continuous-learning-v2/SKILL.md

基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。

46

continuous-learning-v2

docs/zh-TW/skills/continuous-learning-v2/SKILL.md

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

48

continuous-learning-v2

skills/continuous-learning-v2/SKILL.md

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.

62

continuous-learning-v2

docs/ja-JP/skills/continuous-learning-v2/SKILL.md

フックを介してセッションを観察し、信頼度スコアリング付きのアトミックなインスティンクトを作成し、スキル/コマンド/エージェントに進化させるインスティンクトベースの学習システム。

49

contract-first

skills/contract-first/SKILL.md

Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protocol Buffers, or JSON Schema), with generated consumer types and contract-verified integration. Use when parallel consumer and provider work must evolve an API or event schema without field drift, mock/production shape mismatch, or one side silently redefining the interface.

70

cost-aware-llm-pipeline

skills/cost-aware-llm-pipeline/SKILL.md

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.

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