mirror of
https://github.com/microsoft/SkillOpt.git
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f9db99853b
Restructure into plugins/{claude-code,codex,copilot}/ — one engine, three thin
shells, all calling the shared plugins/run-sleep.sh -> python -m skillopt_sleep.
- claude-code/: existing plugin moved here; runner delegates to the shared
launcher (fixes repo-root resolution after the move).
- codex/: ~/.codex/prompts/sleep.md custom prompt + ~/.agents/skills SKILL.md +
install.sh + AGENTS.md hint — Codex's documented, stable extension surfaces.
- copilot/: a stdlib-only MCP server (mcp_server.py) exposing sleep_* tools,
plus mcp-config.example.json and a copilot-instructions snippet. Verified end
to end (initialize -> tools/list -> tools/call returns real engine output).
- plugins/README.md overview table; main README News + a dedicated SkillOpt-Sleep
section; pyproject lists skillopt_sleep as a first-class package.
Decoupling emphasized throughout: open-source tool (skillopt_sleep/) with zero
dependency on the research package. 29 tests pass; all three shells resolve.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
78 lines
2.2 KiB
TOML
78 lines
2.2 KiB
TOML
[build-system]
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requires = ["setuptools>=68.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "skillopt"
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version = "0.1.0"
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description = "SkillOpt: Agentic Skill Optimization via Reflective Training Loops"
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readme = "README.md"
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license = {text = "MIT"}
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requires-python = ">=3.10"
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authors = [
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{name = "SkillOpt Team"},
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]
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keywords = ["agent", "prompt-optimization", "skill-learning", "LLM", "agentic"]
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"openai>=1.30.0",
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"pyyaml>=6.0",
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"numpy>=1.24.0",
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"openpyxl>=3.1.0",
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"azure-identity>=1.15.0",
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"azure-core>=1.30.0",
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"httpx>=0.27.0",
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]
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[project.optional-dependencies]
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# Benchmark-specific dependencies
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alfworld = ["alfworld>=0.4.0", "gymnasium>=0.29.0"]
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# Claude model backend
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claude = ["claude-agent-sdk>=0.1.0"]
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# Qwen local model backend (via vLLM)
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qwen = ["vllm>=0.4.0"]
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# Documentation site
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docs = ["mkdocs-material>=9.5.0", "mkdocstrings[python]>=0.24.0"]
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# WebUI dashboard
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webui = ["gradio>=4.0.0"]
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# Development tools
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dev = ["ruff>=0.4.0", "pytest>=8.0.0"]
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# All optional dependencies (except docs/dev/webui)
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all = [
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"alfworld>=0.4.0",
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"gymnasium>=0.29.0",
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"claude-agent-sdk>=0.1.0",
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]
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[project.scripts]
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skillopt-train = "scripts.train:main"
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skillopt-eval = "scripts.eval_only:main"
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[project.urls]
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Homepage = "https://github.com/microsoft/SkillOpt"
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Documentation = "https://microsoft.github.io/SkillOpt"
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Repository = "https://github.com/microsoft/SkillOpt"
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Issues = "https://github.com/microsoft/SkillOpt/issues"
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[tool.setuptools.packages.find]
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# skillopt* = the research package; skillopt_sleep = the open-source Sleep tool
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# (decoupled, zero dependency on the research code).
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include = ["skillopt", "skillopt.*", "skillopt_sleep", "skillopt_sleep.*", "scripts*"]
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[tool.ruff]
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line-length = 120
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target-version = "py310"
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[tool.ruff.lint]
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select = ["E", "F", "I", "W"]
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ignore = ["E501"]
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