agent-creation

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Turn a user requirement into a concrete agent — write the target agent's AGENTS.md and install the skills it needs.

AI & Automation 199 stars 23 forks Updated today Apache-2.0

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Issue Health 10%
50
License 10%
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Description 5%
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Skill Content

# Agent Creation This skill turns a user requirement into a working agent configuration — plain files in the target agent's directory. ## Before you start If the user's message only invokes this skill (e.g. "use agent-creation skill") without a concrete requirement, ask the user what agent they want and what it should do. But when the requirement is already concrete — even a single sentence like "an expert that answers questions about X" — do **not** ask follow-up questions: derive the role and rules from that sentence, apply the defaults below, and list your assumptions in the final reply. ## Locate the target agent All agents of this project live side by side under `agents/` in the App Data Dir: ```bash APP_DATA_DIR="<app_data_dir>" # the App Data Dir value from your Environment section ls "$APP_DATA_DIR/agents" # existing agents (each is a folder here) TARGET="$APP_DATA_DIR/agents/<agent_id>" # the agent to configure ``` An agent directory contains `agent_state/` (`system_config.yaml`, `AGENTS.md`, `skills/`, `memory/`, `tools/`) plus `scratchpad/` — and `traces/`, which appears once the agent has run at least once. ## Write AGENTS.md `agent_state/AGENTS.md` is injected into the agent's system prompt — it is where the user requirement becomes behavior. Keep `system_config.yaml`'s `system_prompt` untouched (that is the stable system layer); put everything requirement-specific in AGENTS.md: - Role — what the agent is for, in one or two sentences. - Do...

Details

Author
Prism-Shadow
Repository
Prism-Shadow/penguin-harness
Created
1 weeks ago
Last Updated
today
Language
TypeScript
License
Apache-2.0

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