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zedarvateszedarvates/frugal-skills/skills/bootstrap/SKILL.md

bootstrap

Skill1 starsChanged 30 days agoMITView on GitHub

Guidance for deploying a separately installed Botte Secrete runtime into a target project: MCP configuration, directive audit, local configuration and setup report. Use when planning project onboarding. Inspect proposed configuration changes and verify host integration; this catalog does not install services or guarantee savings.

70 other projects use a version of this, 1 of them edited.

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Projects with it also use surprise-me, ppt-generation and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 62 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    After setup, verify that the host actually exposes the configured tools and that suitable local backends are reachable.

    line 43

“Common” is measured: kept by at least 6 in 10 of the 62 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

bootstrap — deploy the toolkit into a project

Package scope and prerequisites

This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.

Commands, APIs and runtime behavior described below are conditional examples for a compatible upstream installation; they are not evidence of execution in this package.

The upstream bootstrap prepares project configuration for a separately installed toolkit. Confirm runtime dependencies and host support, then inspect the resulting configuration and verify the integration before claiming it works.

Run it

python -m skills.bootstrap.cli /path/to/project
python -m skills.bootstrap.cli /path/to/project --create-agents-md   # scaffold AGENTS.md if missing
python -m skills.bootstrap.cli /path/to/project --scan-subnet --json

Upstream workflow to verify

  1. Discover local backends (llm_backends) so routing has somewhere to send work.
  2. Wire MCP — merges the botte-llm server into the project's .mcp.json (the intended merge preserves existing servers; inspect the result). A compatible configured host may expose: auto_route, local_chat, fusion, find_skills, audit_local_usage, route_task, discover_backends, list_models.
  3. Audit directives (directives_audit) — reports the CLAUDE.md/AGENTS.md health; with --create-agents-md, scaffolds a starter AGENTS.md when none exists.
  4. Write .botte/config.json — Botte version/baseline commit plus dirty-state evidence, chosen local model, detected cloud keys, token budget, routing mode (auto).
  5. Write .botte/setup-report.json + print a summary with next steps.

Result

After setup, verify that the host actually exposes the configured tools and that suitable local backends are reachable. The intended workflow uses local routing for appropriate tasks and configured cloud providers for others; availability, costs and savings require observation in that environment.

.mcp.json and .botte/ hold per-machine absolute paths, so they are gitignored in this repo — deploy on each machine.

Related: [[llm-mcp]] (the tools wired in), [[auto-router]], [[skill-finder]], [[directives-audit]], [[llm-backends]].

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