Manage SQLite-backed sprint metrics and audit findings for iterative improvement workflows.
npx skills add https://github.com/FL03/claude-shepherd --skill adaptation-fl03
Please help me install this Agent Skill. Skill: adaptation Source: https://github.com/FL03/claude-shepherd/tree/main/skills/adaptation Command: npx skills add https://github.com/FL03/claude-shepherd --skill adaptation-fl03
This skill prevents recurring failure modes in long-running AI agent sessions by implementing a rigorous harvest-store-inject-cite feedback loop that ensures lessons learned are never forgotten.
Run the adaptation roll command at the end of your sprint to capture performance metrics and harvest lessons for the next cycle.
High-intent search queries and answers about installing and using this skill.
A persistent self-improvement feedback loop prevents recurring failure modes in multi-agent workflows by harvesting, storing, and injecting prior lessons back into the system prompts of active agents.
Automated sprint metrics tracking captures and grades performance metrics like LOC delta, API usage, and wall-clock time to identify efficiency trends, storing the audit findings in a SQLite-backed registry.
Automated insight capture enforces code quality by standardizing agent observations into actionable categories and integrating with pre-dispatch hooks to block substandard code or duplicated patterns before they land.
Yes, managing audit findings for agent flocks can be done using a SQLite-backed registry that systematically identifies and mitigates systemic risks through automated insight capture and prior-lesson injection.
A systematic insight taxonomy is needed for continuous architectural improvement when you want to standardize agent observations into six actionable categories, driving systematic identification and mitigation of systemic risks.
Yes, integrating pre-dispatch hooks with agent-level system prompts enforces strict architectural invariants and executes automated greps to block substandard code or duplicated patterns before they land.
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