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Capture, validate, and transition package-specific findings and proposals for voku/agent-learning.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use ctx-backed local agent-history search as bounded evidence references while creating, validating, or consolidating voku/agent-learning findings.
Set up and operate voku/agent-learning in a consuming repository, including learning-root config.json, findings, proposals, consolidation prompts, validation, and lifecycle commands. Use for end-user learning-loop workflows, not package source development.
Maintain voku/agent-learning package source, tests, docs, CLI behavior, configurable paths, constraint lifecycle code, and local vendor syncs in consuming projects.
Maintain repository-owned agent skills, memory, docs, and installed copies after reviewed durable learnings.
Capture reviewable agent-learning findings for this repository after meaningful sessions.
Turn stable repository guidance into local executable constraints such as static-analysis rules, tests, or CI checks.
| name | agent-learning-maintenance |
| description | Capture, validate, and transition package-specific findings and proposals for voku/agent-learning. |
Use this skill to govern the learning lifecycle within the voku/agent-learning repository itself.
infra/doc/agent-learning/findings/candidate/ using the template format.evidence item (e.g. referencing the specific failing PHPUnit test or PHPStan output).validation_status to unverified and status to candidate.validated using the transition command:
make agent_learning_finding_transition FINDING=finding.YYYY-MM-DD.NNN STATUS=validated BY=<name>
status to validated and validation_status to validated automatically, moving the file to findings/validated/.make agent_learning_validate