Harvey `/skill-set` Design (Ollama-Centric)

Directory Structure

agents/
├── skills/               # Skill implementations (e.g., `lint`, `test`)
└── skill-sets/           # Skill set YAML files (e.g., `code-review.yaml`)

YAML Structure (Skill Set)

name: code-review
description: Tools for code quality
skills:
  - trigger: /lint
    prompt: "Analyze this {language} code for PEP8/compliance: {code}"
  - trigger: /test
    prompt: "Write tests for this {language} function: {code}"
metadata:
  version: 1.0
  dependencies: [pylint, flake8]

Commands

Command	Action
`/skill-set load <name>`	Loads `<name>.yaml`. Rejects if triggers are missing/duplicate. Calculates token count via Ollama API.
`/skill-set unload`	Clears the current skill set from context.
`/skill-set list`	Lists all YAML files in `agents/skill-sets/`.
`/skill-set create <name>`	Creates a new empty YAML file for `<name>`.
`/skill-set delete <name>`	Deletes `<name>.yaml`.

Validation Rules

Missing Skills: Reject load if any trigger in the YAML doesn’t exist in agents/skills/.
Duplicate Triggers: Reject load if any trigger is duplicated in the YAML.
Token Count: Warn if the total tokens for the skill set exceed the model’s context window.

Tokenization

Use Ollama’s /api/tokenize endpoint for all models (pulled or local).

Example API call:

curl http://localhost:11434/api/tokenize -d '{"model": "phi:2.7b", "content": "Your prompt here"}'

Go Implementation Notes

Use gopkg.in/yaml.v3 for YAML parsing.
Use net/http to call Ollama’s API for tokenization.
Validate triggers against agents/skills/ before loading.
need to figure out how to handle llamafile and tokenization counte

Harvey /skill-set Design (Ollama-Centric)

Directory Structure

YAML Structure (Skill Set)

Commands

Validation Rules

Tokenization

Go Implementation Notes

Harvey `/skill-set` Design (Ollama-Centric)