From a14f09bec2db30b82efa9bdd3ae41786e3b927f0 Mon Sep 17 00:00:00 2001 From: Epictetus Date: Wed, 5 Aug 2026 15:55:36 +0000 Subject: [PATCH] Add 2 new skills + dedup fix New skills: - langgraph-workflow-creation (from LangGraphProjects) - agent-supervisor (from multi_agent_workflow_demo_in_langgraph) Fixes: - Publisher dedup: skip existing skills - Older repos: pushed_after 2024-06-01 (was 2026-05-01) - Lower stars: 10 (was 15) --- config/settings.yaml | 4 +- skills/agent-supervisor/SKILL.md | 84 +++++++++++++++++++ skills/agent-supervisor/commands.md | 6 ++ skills/agent-supervisor/examples.md | 10 +++ skills/agent-supervisor/metadata.json | 81 ++++++++++++++++++ skills/agent-supervisor/tests.md | 9 ++ skills/langgraph-workflow-creation/SKILL.md | 83 ++++++++++++++++++ .../langgraph-workflow-creation/commands.md | 6 ++ .../langgraph-workflow-creation/examples.md | 10 +++ .../langgraph-workflow-creation/metadata.json | 26 ++++++ skills/langgraph-workflow-creation/tests.md | 9 ++ 11 files changed, 326 insertions(+), 2 deletions(-) create mode 100644 skills/agent-supervisor/SKILL.md create mode 100644 skills/agent-supervisor/commands.md create mode 100644 skills/agent-supervisor/examples.md create mode 100644 skills/agent-supervisor/metadata.json create mode 100644 skills/agent-supervisor/tests.md create mode 100644 skills/langgraph-workflow-creation/SKILL.md create mode 100644 skills/langgraph-workflow-creation/commands.md create mode 100644 skills/langgraph-workflow-creation/examples.md create mode 100644 skills/langgraph-workflow-creation/metadata.json create mode 100644 skills/langgraph-workflow-creation/tests.md diff --git a/config/settings.yaml b/config/settings.yaml index b203e6c..22b0a5e 100644 --- a/config/settings.yaml +++ b/config/settings.yaml @@ -34,8 +34,8 @@ scout: - 'rag agent workflow' - 'tool calling workflow' filters: - stars_min: 15 - pushed_after: 2026-05-01 + stars_min: 10 + pushed_after: 2024-06-01 language: Python archived: false size_max_kb: 10000 diff --git a/skills/agent-supervisor/SKILL.md b/skills/agent-supervisor/SKILL.md new file mode 100644 index 0000000..d644365 --- /dev/null +++ b/skills/agent-supervisor/SKILL.md @@ -0,0 +1,84 @@ +--- +name: agent-supervisor +version: 1.0.0 +description: Demonstrate a supervisor-worker architecture for intelligent task delegation + and real-time decision-making. +inputs: +- name: OPENAI_API_KEY + description: OpenAI API key for language models. +- name: TAVILY_API_KEY + description: Tavily API key for search functionality. +steps: +- step: 1 + action: Load environment variables. + details: Set the OPENAI_API_KEY and TAVILY_API_KEY environment variables. +- step: 2 + action: Configure LangChain tools. + details: Initialize TavilySearchResults and PythonREPLTool. +- step: 3 + action: Define agent nodes. + details: Create functions for the Researcher and Coder agents that process state + through their respective tasks. +- step: 4 + action: Set up supervisor agent. + details: Create a supervisor agent function that decides which worker should act + next based on user input. +- step: 5 + action: Build state graph. + details: Construct the state graph with nodes for each agent and edges connecting + them to the supervisor node. +- step: 6 + action: Add conditional edges. + details: Define conditions for transitioning between agents based on their responses. +- step: 7 + action: Compile graph. + details: Compile the state graph into a runnable workflow. +- step: 8 + action: Run example queries. + details: Stream through the workflow with example inputs to demonstrate its functionality. +outputs: +- name: 'Example 1: Code Hello World' + description: A demonstration of coding a simple hello world program. +- name: 'Example 2: Research Report' + description: A demonstration of researching and writing a brief report on pikas. +tags: [] +metadata: + source_repo: https://github.com/extrawest/multi_agent_workflow_demo_in_langgraph.git + extracted_at: '' + confidence: 0.9 +--- + +# agent-supervisor + +Demonstrate a supervisor-worker architecture for intelligent task delegation and real-time decision-making. + +## Steps + +1. {'step': 1, 'action': 'Load environment variables.', 'details': 'Set the OPENAI_API_KEY and TAVILY_API_KEY environment variables.'} +2. {'step': 2, 'action': 'Configure LangChain tools.', 'details': 'Initialize TavilySearchResults and PythonREPLTool.'} +3. {'step': 3, 'action': 'Define agent nodes.', 'details': 'Create functions for the Researcher and Coder agents that process state through their respective tasks.'} +4. {'step': 4, 'action': 'Set up supervisor agent.', 'details': 'Create a supervisor agent function that decides which worker should act next based on user input.'} +5. {'step': 5, 'action': 'Build state graph.', 'details': 'Construct the state graph with nodes for each agent and edges connecting them to the supervisor node.'} +6. {'step': 6, 'action': 'Add conditional edges.', 'details': 'Define conditions for transitioning between agents based on their responses.'} +7. {'step': 7, 'action': 'Compile graph.', 'details': 'Compile the state graph into a runnable workflow.'} +8. {'step': 8, 'action': 'Run example queries.', 'details': 'Stream through the workflow with example inputs to demonstrate its functionality.'} + +## Inputs + +- {'name': 'OPENAI_API_KEY', 'description': 'OpenAI API key for language models.'} +- {'name': 'TAVILY_API_KEY', 'description': 'Tavily API key for search functionality.'} + +## Outputs + +- {'name': 'Example 1: Code Hello World', 'description': 'A demonstration of coding a simple hello world program.'} +- {'name': 'Example 2: Research Report', 'description': 'A demonstration of researching and writing a brief report on pikas.'} + +## Failure Modes + +- {'mode': 'Invalid API keys', 'description': 'The workflow may fail if the provided API keys are invalid or expired.'} +- {'mode': 'Insufficient permissions', 'description': 'The workflow may fail if the user does not have sufficient permissions to use the Tavily search functionality.'} + +## Source + +Extracted from: [https://github.com/extrawest/multi_agent_workflow_demo_in_langgraph.git](https://github.com/extrawest/multi_agent_workflow_demo_in_langgraph.git) +Confidence: 0.9 diff --git a/skills/agent-supervisor/commands.md b/skills/agent-supervisor/commands.md new file mode 100644 index 0000000..9215767 --- /dev/null +++ b/skills/agent-supervisor/commands.md @@ -0,0 +1,6 @@ +# Commands: agent-supervisor + +## Available Commands + +- `/skill agent-supervisor` — Load this skill +- `/run agent-supervisor` — Execute workflow diff --git a/skills/agent-supervisor/examples.md b/skills/agent-supervisor/examples.md new file mode 100644 index 0000000..6fae8dc --- /dev/null +++ b/skills/agent-supervisor/examples.md @@ -0,0 +1,10 @@ +# Examples: agent-supervisor + +## Usage Example + +```python +# How to use this skill +# Inputs: {'name': 'OPENAI_API_KEY', 'description': 'OpenAI API key for language models.'}, {'name': 'TAVILY_API_KEY', 'description': 'Tavily API key for search functionality.'} +# Process: {'step': 1, 'action': 'Load environment variables.', 'details': 'Set the OPENAI_API_KEY and TAVILY_API_KEY environment variables.'} → {'step': 2, 'action': 'Configure LangChain tools.', 'details': 'Initialize TavilySearchResults and PythonREPLTool.'} → {'step': 3, 'action': 'Define agent nodes.', 'details': 'Create functions for the Researcher and Coder agents that process state through their respective tasks.'} +# Outputs: {'name': 'Example 1: Code Hello World', 'description': 'A demonstration of coding a simple hello world program.'}, {'name': 'Example 2: Research Report', 'description': 'A demonstration of researching and writing a brief report on pikas.'} +``` diff --git a/skills/agent-supervisor/metadata.json b/skills/agent-supervisor/metadata.json new file mode 100644 index 0000000..9b70a2f --- /dev/null +++ b/skills/agent-supervisor/metadata.json @@ -0,0 +1,81 @@ +{ + "name": "agent-supervisor", + "version": "1.0.0", + "goal": "Demonstrate a supervisor-worker architecture for intelligent task delegation and real-time decision-making.", + "inputs": [ + { + "name": "OPENAI_API_KEY", + "description": "OpenAI API key for language models." + }, + { + "name": "TAVILY_API_KEY", + "description": "Tavily API key for search functionality." + } + ], + "steps": [ + { + "step": 1, + "action": "Load environment variables.", + "details": "Set the OPENAI_API_KEY and TAVILY_API_KEY environment variables." + }, + { + "step": 2, + "action": "Configure LangChain tools.", + "details": "Initialize TavilySearchResults and PythonREPLTool." + }, + { + "step": 3, + "action": "Define agent nodes.", + "details": "Create functions for the Researcher and Coder agents that process state through their respective tasks." + }, + { + "step": 4, + "action": "Set up supervisor agent.", + "details": "Create a supervisor agent function that decides which worker should act next based on user input." + }, + { + "step": 5, + "action": "Build state graph.", + "details": "Construct the state graph with nodes for each agent and edges connecting them to the supervisor node." + }, + { + "step": 6, + "action": "Add conditional edges.", + "details": "Define conditions for transitioning between agents based on their responses." + }, + { + "step": 7, + "action": "Compile graph.", + "details": "Compile the state graph into a runnable workflow." + }, + { + "step": 8, + "action": "Run example queries.", + "details": "Stream through the workflow with example inputs to demonstrate its functionality." + } + ], + "outputs": [ + { + "name": "Example 1: Code Hello World", + "description": "A demonstration of coding a simple hello world program." + }, + { + "name": "Example 2: Research Report", + "description": "A demonstration of researching and writing a brief report on pikas." + } + ], + "failure_modes": [ + { + "mode": "Invalid API keys", + "description": "The workflow may fail if the provided API keys are invalid or expired." + }, + { + "mode": "Insufficient permissions", + "description": "The workflow may fail if the user does not have sufficient permissions to use the Tavily search functionality." + } + ], + "confidence": 0.9, + "explanation": "This workflow demonstrates a hierarchical multi-agent system where a supervisor agent makes routing decisions based on user input, delegating tasks to specialized worker agents (Researcher and Coder). It is designed to be reusable for similar task delegation scenarios.", + "source_repo": "https://github.com/extrawest/multi_agent_workflow_demo_in_langgraph.git", + "score": 1.0 +} \ No newline at end of file diff --git a/skills/agent-supervisor/tests.md b/skills/agent-supervisor/tests.md new file mode 100644 index 0000000..57e9aee --- /dev/null +++ b/skills/agent-supervisor/tests.md @@ -0,0 +1,9 @@ +# Tests: agent-supervisor + +## Test Checklist + +- [ ] Workflow has at least 3 steps +- [ ] All inputs are defined +- [ ] All outputs are defined +- [ ] Failure modes are documented +- [ ] Skill can be loaded without errors diff --git a/skills/langgraph-workflow-creation/SKILL.md b/skills/langgraph-workflow-creation/SKILL.md new file mode 100644 index 0000000..851b0ea --- /dev/null +++ b/skills/langgraph-workflow-creation/SKILL.md @@ -0,0 +1,83 @@ +--- +name: langgraph-workflow-creation +version: 1.0.0 +description: Create a LangGraph workflow to gather facts using SerperDevTool and process + them with an AI agent. +inputs: +- API Key for SerperDevTool +- Search Query +steps: +- 'Step 1: Import necessary modules from langgraph and langchain libraries' +- 'Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function + with SerperDevTool as the tool node' +- 'Step 3: Define the search query and pass it to the agent for fact gathering' +- 'Step 4: Process the gathered facts within the AI agent' +outputs: +- Processed Facts +tags: [] +metadata: + source_repo: https://github.com/jkmaina/LangGraphProjects.git + extracted_at: '' + confidence: 0.95 +--- + +# langgraph-workflow-creation + +Create a LangGraph workflow to gather facts using SerperDevTool and process them with an AI agent. + +## Setup + +**Dependencies:** + +```text +pip install langchain serperdev +``` + +**Setup steps:** + +1. Install required libraries: pip install langchain serperdev +1. Add API key to .env file: OPENAPI_API_KEY=your_api_key + +## Key Files + +- `agent.py - Contains the LangGraph agent creation logic` +- `tool_node.py - Defines the SerperDevTool node` + +## Steps + +1. Step 1: Import necessary modules from langgraph and langchain libraries +2. Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function with SerperDevTool as the tool node +3. Step 3: Define the search query and pass it to the agent for fact gathering +4. Step 4: Process the gathered facts within the AI agent + +## Implementation Details + +```python +import langgraph +from serperdev import SerperDevTool + +def create_agent(api_key, query): + tool = SerperDevTool(api_key) + agent = langgraph.create_react_agent(tool=tool) + facts = agent.run(query) + return process_facts(facts) +``` + +## Inputs + +- API Key for SerperDevTool +- Search Query + +## Outputs + +- Processed Facts + +## Failure Modes + +- API Key not provided +- Invalid Search Query + +## Source + +Extracted from: [https://github.com/jkmaina/LangGraphProjects.git](https://github.com/jkmaina/LangGraphProjects.git) +Confidence: 0.95 diff --git a/skills/langgraph-workflow-creation/commands.md b/skills/langgraph-workflow-creation/commands.md new file mode 100644 index 0000000..f8a5b01 --- /dev/null +++ b/skills/langgraph-workflow-creation/commands.md @@ -0,0 +1,6 @@ +# Commands: langgraph-workflow-creation + +## Available Commands + +- `/skill langgraph-workflow-creation` — Load this skill +- `/run langgraph-workflow-creation` — Execute workflow diff --git a/skills/langgraph-workflow-creation/examples.md b/skills/langgraph-workflow-creation/examples.md new file mode 100644 index 0000000..f956333 --- /dev/null +++ b/skills/langgraph-workflow-creation/examples.md @@ -0,0 +1,10 @@ +# Examples: langgraph-workflow-creation + +## Usage Example + +```python +# How to use this skill +# Inputs: API Key for SerperDevTool, Search Query +# Process: Step 1: Import necessary modules from langgraph and langchain libraries → Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function with SerperDevTool as the tool node → Step 3: Define the search query and pass it to the agent for fact gathering +# Outputs: Processed Facts +``` diff --git a/skills/langgraph-workflow-creation/metadata.json b/skills/langgraph-workflow-creation/metadata.json new file mode 100644 index 0000000..2b2c08c --- /dev/null +++ b/skills/langgraph-workflow-creation/metadata.json @@ -0,0 +1,26 @@ +{ + "name": "langgraph-workflow-creation", + "version": "1.0.0", + "goal": "Create a LangGraph workflow to gather facts using SerperDevTool and process them with an AI agent.", + "inputs": [ + "API Key for SerperDevTool", + "Search Query" + ], + "steps": [ + "Step 1: Import necessary modules from langgraph and langchain libraries", + "Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function with SerperDevTool as the tool node", + "Step 3: Define the search query and pass it to the agent for fact gathering", + "Step 4: Process the gathered facts within the AI agent" + ], + "outputs": [ + "Processed Facts" + ], + "failure_modes": [ + "API Key not provided", + "Invalid Search Query" + ], + "confidence": 0.95, + "explanation": "This workflow is specific to fact gathering and can be adapted for different search queries or tools.", + "source_repo": "https://github.com/jkmaina/LangGraphProjects.git", + "score": 1.0 +} \ No newline at end of file diff --git a/skills/langgraph-workflow-creation/tests.md b/skills/langgraph-workflow-creation/tests.md new file mode 100644 index 0000000..c38391d --- /dev/null +++ b/skills/langgraph-workflow-creation/tests.md @@ -0,0 +1,9 @@ +# Tests: langgraph-workflow-creation + +## Test Checklist + +- [ ] Workflow has at least 3 steps +- [ ] All inputs are defined +- [ ] All outputs are defined +- [ ] Failure modes are documented +- [ ] Skill can be loaded without errors