v2.0.0 to v2.0.0

116 added, 116 removed. Audit A to A.

- ---

- name: cfn-cerebras-coordinator

- description: "Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for continuous improvement. Ideal for high-volume, low-complexity code tasks."

- version: 2.0.0

- tags: [coordination, code-generation, fast, zai, glm-4.6, pattern-learning, tests]

- ---

- # Cerebras Coordinator Skill

- ## Description

- Coordinates **fast code generation** via Z.ai glm-4.6 model with CodeSearch pattern learning. Agents use this skill to offload rapid test generation and boilerplate code while building a searchable database of successful patterns.

- ## Key Features

- - 🚀 **Fast Code Generation**: Uses Cerebras API for rapid code creation

- - 📚 **Pattern Learning**: Tracks successful prompts and contexts in CodeSearch

- - 🔄 **Feedback Loop**: Tests generated code and logs results

- - 🎯 **Agent Coordination**: Provides simple interface for agents to coordinate generation tasks

- - 📊 **Success Metrics**: Analyzes and ranks prompt effectiveness

- ## Usage

- ### Basic Usage (Agent Pattern)

- ```bash

- # Generate code with automatic testing

- ./coordinate-generation.sh \

- --agent-id "backend-developer-123" \

- --file-path "src/api_handler.rs" \

- --prompt "Create a REST API handler with authentication" \

- --test-command "cargo test api_handler"

- ```

- ### Advanced Usage with Context

- ```bash

- # Generate with context files and custom settings

- ./coordinate-generation.sh \

- --agent-id "frontend-dev-456" \

- --file-path "components/UserProfile.tsx" \

- --prompt "Create React component with TypeScript" \

- --context-files "src/types.ts,src/hooks/useAuth.ts" \

- --test-command "npm test -- --testPathPattern=UserProfile" \

- --model "qwen2.5-coder-32b" \

- --max-attempts 3

- ```

- ### Query Successful Patterns

- ```bash

- # Find what worked for similar files

- ./query-patterns.sh \

- --file-type "rs" \

- --pattern "REST API"

- --limit 5

- # Get agent-specific successful patterns

- ./query-patterns.sh \

- --agent-id "backend-developer" \

- --success-rate-threshold 0.8

- ```

- ## Architecture

- ```

- Agent (Coordinator) Cerebras Coordinator Skill CodeSearch

- | | |

- |--- Request Generation --->| |

- | |--- Store Prompt ------------->|

- | | |

- |<--- Return Result --------| |

- | | |

- |--- Test Validation ------->| |

- | | |

- |--- Feedback -------------->|--- Log Success/Failure ----->|

- | | |

- ```

- ## When to Use

- - ✅ **Bulk test generation** - generating many test files quickly

- - ✅ **Boilerplate with patterns** - learning from previous successful generations

- - ✅ **Agent code offloading** - when agents need fast, simple code generation

- - ✅ **Repetitive tasks** - migrations, similar components, data models

- - ❌ **NOT for** complex logic, security code, or architectural decisions

- ## Configuration

- ```bash

- # Required

- export ZAI_API_KEY="your-zai-api-key" # or CEREBRAS_API_KEY for legacy

- export CODESEARCH_INDEX_PATH="./.claude/skills/cfn-codesearch/data"

- # Optional

- export ZAI_MODEL="glm-4.6" # Fast, cost-effective model (default)

- export COORDINATION_DB_PATH="./.claude/skills/cfn-cerebras-coordinator/generations.db"

- export DEFAULT_TEST_TIMEOUT="60"

- export MAX_GENERATION_ATTEMPTS="3"

- ```

- ## Workflow

- 1. **Agent Request**: Agent calls coordinator with generation task

- 2. **Pattern Lookup**: Coordinator queries CodeSearch for similar successful patterns

- 3. **Prompt Enhancement**: Enhances prompt with successful pattern examples

- 4. **Generation**: Sends to Cerebras for code generation

- 5. **Testing**: Automatically runs tests on generated code

- 6. **Validation**: Checks if tests pass and code compiles

- 7. **Logging**: Stores results in CodeSearch for future learning

- 8. **Feedback**: Returns result to agent with success metrics

- ## Success Metrics

- The system tracks:

- - Prompt effectiveness by file type

- - Agent-specific success rates

- - Context file correlations

- - Model performance comparisons

- - Test pass/fail rates

- - Compilation success rates

+ ---

+ name: cfn-cerebras-coordinator

+ description: "Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for continuous improvement. Ideal for high-volume, low-complexity code tasks."

+ version: 2.0.0

+ tags: [coordination, code-generation, fast, zai, glm-4.6, pattern-learning, tests]

+ ---

+ # Cerebras Coordinator Skill

+ ## Description

+ Coordinates **fast code generation** via Z.ai glm-4.6 model with CodeSearch pattern learning. Agents use this skill to offload rapid test generation and boilerplate code while building a searchable database of successful patterns.

+ ## Key Features

+ - 🚀 **Fast Code Generation**: Uses Cerebras API for rapid code creation

+ - 📚 **Pattern Learning**: Tracks successful prompts and contexts in CodeSearch

+ - 🔄 **Feedback Loop**: Tests generated code and logs results

+ - 🎯 **Agent Coordination**: Provides simple interface for agents to coordinate generation tasks

+ - 📊 **Success Metrics**: Analyzes and ranks prompt effectiveness

+ ## Usage

+ ### Basic Usage (Agent Pattern)

+ ```bash

+ # Generate code with automatic testing

+ ./coordinate-generation.sh \

+ --agent-id "backend-developer-123" \

+ --file-path "src/api_handler.rs" \

+ --prompt "Create a REST API handler with authentication" \

+ --test-command "cargo test api_handler"

+ ```

+ ### Advanced Usage with Context

+ ```bash

+ # Generate with context files and custom settings

+ ./coordinate-generation.sh \

+ --agent-id "frontend-dev-456" \

+ --file-path "components/UserProfile.tsx" \

+ --prompt "Create React component with TypeScript" \

+ --context-files "src/types.ts,src/hooks/useAuth.ts" \

+ --test-command "npm test -- --testPathPattern=UserProfile" \

+ --model "qwen2.5-coder-32b" \

+ --max-attempts 3

+ ```

+ ### Query Successful Patterns

+ ```bash

+ # Find what worked for similar files

+ ./query-patterns.sh \

+ --file-type "rs" \

+ --pattern "REST API"

+ --limit 5

+ # Get agent-specific successful patterns

+ ./query-patterns.sh \

+ --agent-id "backend-developer" \

+ --success-rate-threshold 0.8

+ ```

+ ## Architecture

+ ```

+ Agent (Coordinator) Cerebras Coordinator Skill CodeSearch

+ | | |

+ |--- Request Generation --->| |

+ | |--- Store Prompt ------------->|

+ | | |

+ |<--- Return Result --------| |

+ | | |

+ |--- Test Validation ------->| |

+ | | |

+ |--- Feedback -------------->|--- Log Success/Failure ----->|

+ | | |

+ ```

+ ## When to Use

+ - ✅ **Bulk test generation** - generating many test files quickly

+ - ✅ **Boilerplate with patterns** - learning from previous successful generations

+ - ✅ **Agent code offloading** - when agents need fast, simple code generation

+ - ✅ **Repetitive tasks** - migrations, similar components, data models

+ - ❌ **NOT for** complex logic, security code, or architectural decisions

+ ## Configuration

+ ```bash

+ # Required

+ export ZAI_API_KEY="your-zai-api-key" # or CEREBRAS_API_KEY for legacy

+ export CODESEARCH_INDEX_PATH="./.claude/skills/cfn-codesearch/data"

+ # Optional

+ export ZAI_MODEL="glm-4.6" # Fast, cost-effective model (default)

+ export COORDINATION_DB_PATH="./.claude/skills/cfn-cerebras-coordinator/generations.db"

+ export DEFAULT_TEST_TIMEOUT="60"

+ export MAX_GENERATION_ATTEMPTS="3"

+ ```

+ ## Workflow

+ 1. **Agent Request**: Agent calls coordinator with generation task

+ 2. **Pattern Lookup**: Coordinator queries CodeSearch for similar successful patterns

+ 3. **Prompt Enhancement**: Enhances prompt with successful pattern examples

+ 4. **Generation**: Sends to Cerebras for code generation

+ 5. **Testing**: Automatically runs tests on generated code

+ 6. **Validation**: Checks if tests pass and code compiles

+ 7. **Logging**: Stores results in CodeSearch for future learning

+ 8. **Feedback**: Returns result to agent with success metrics

+ ## Success Metrics

+ The system tracks:

+ - Prompt effectiveness by file type

+ - Agent-specific success rates

+ - Context file correlations

+ - Model performance comparisons

+ - Test pass/fail rates

+ - Compilation success rates

This creates a self-improving system that gets better at generating code over time.