Epictetus
271f79610d
New skills: - blacknode-graph-workflow - multi-agent-workflow-execution - langgraph-agent-workflow - langgraph-multi-agent-router - three-tier-evaluation-pipeline Config: LLM pipeline uses LFM on llama.cpp (8080)
93 lines
1.7 KiB
YAML
93 lines
1.7 KiB
YAML
# Agent Skills Pipeline Configuration
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gitea:
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base_url: http://localhost:3000
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token: "b721b5f288d227e9336241f95319437ab40256d6"
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owner: tonyjbala
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repo: agent-skills
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clone_url: http://localhost:3000/tonyjbala/agent-skills.git
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github:
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token: "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"
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llm:
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base_url: http://100.64.0.2:8083/v1
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model: /home/ty/models/qwen36-27b-mtp-gguf/Qwen3.6-27B-UD-Q4_K_XL.gguf
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api_key: ""
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max_tokens: 8000
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# Secondary LLM for pipeline tasks — uses LFM on 3060 (llama.cpp)
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llm_pipeline:
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base_url: http://100.64.0.4:8080
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model: C:\models\LFM2.5-2.6B-Q4_K_M.gguf
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api_key: ""
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max_tokens: 6000
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scout:
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queries:
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- 'langchain workflow example'
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- 'langgraph agent workflow'
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- 'autogen multi-agent example'
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- 'crewai task workflow'
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- 'llamaindex pipeline example'
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- 'mcp server implementation'
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- 'rag agent workflow'
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- 'tool calling workflow'
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filters:
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stars_min: 10
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pushed_after: 2026-02-01
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language: Python
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archived: false
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size_max_kb: 10000
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max_results: 15
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cooldown_hours: 6
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filter:
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categories:
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keep:
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- "AI Agent"
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- "Machine Learning"
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- "NLP"
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- "Data Processing"
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- "DevOps"
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- "Web Framework"
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reject:
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- "CSS"
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- "JavaScript"
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- "HTML"
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- "Game"
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- "Dataset"
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min_stars: 10
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max_age_days: 365
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reader:
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max_files: 5
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max_tokens_per_file: 40000
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extractor:
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min_steps: 3
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required_fields:
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- goal
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- inputs
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- steps
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- outputs
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scoring:
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min_score: 0.85
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checks:
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- readme_exists
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- examples_exist
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- min_steps
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- reusable
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- general_purpose
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generator:
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output_format: hermes_skill
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reviewer:
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confidence_min: 0.80
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publisher:
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branch_prefix: "skill/"
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assign_reviewer: ""
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