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Capture, validate, and transition package-specific findings and proposals for voku/agent-learning.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
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