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av/harbor

19 skills

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$npx skills add av/harbor
SkillInstalls
agent-integration-testingannealUse when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult…—bugbashbughuntFully autonomous bug hunting pipeline — discover bugs in a scoped area using parallel subagents, independently triage each finding, fix confirmed issues with…—disciplinefactsManage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint facts via the CLI.—facts-discoverScan the codebase and classify every fact by lifecycle stage — tag @draft, @spec, or @implemented based on what the code actually shows.—facts-implementOperate on @spec facts — implement them in code, then tag @implemented.—facts-refineOperate on @draft facts — collaboratively refine them into precise, actionable @spec facts.—harborCLI toolkit for managing containerized LLM services. Use when the user wants to start, stop, configure, or manage AI/LLM services like Ollama, Open WebUI,…—harbor-daytonaUse Harbor's Daytona sandbox platform for computer use — creating sandboxes, taking screenshots, sending mouse/keyboard input, and building agent loops.—ideateTimeboxed ideation on a topic using propose-and-critique subagent pairs.—new-boost-moduleCreate new Harbor Boost modules — the Python plugins that run inside Harbor's LLM proxy.—new-serviceAdd a new service to Harbor — scaffold the compose config, environment variables, metadata, documentation, and cross-service integrations.—releasePerform Harbor release procedures — version bumping, codegen, committing, pushing, and drafting GitHub releases.—run-llmsComprehensive guide for setting up and running local LLMs using Harbor.—skill-creatortest-boost-moduleLive-test a Harbor Boost module by sending a real prompt through llamacpp via pi and validating the output.—timeboxed-iterating