learning-aggregator
De la autor
[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.
Instalare
npx skills add pskoett/pskoett-ai-skills --skill learning-aggregator -a claude-code
Se instalează în .claude/skills/learning-aggregator/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Fără licență) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
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De ce 78
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- learning-aggregator-cipskoett/pskoett-ai-skills[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Scans .learnings/ files on a schedule, groups entries by pattern_key, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment. Use when: you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts. For interactive use, use learning-aggregator.Productivitate★ 321
- eval-creatorpskoett/pskoett-ai-skills[Beta] Creates permanent eval cases from promoted learnings and runs regression checks against them. Turns failures into test cases that prevent silent regression. This is the outer loop's regress-test step. Use when a learning is promoted and has a clear pass/fail condition, or on cadence to verify promoted rules still hold.Testare★ 321
- iterate-retrospectiveproduct-on-purpose/pm-skillsFacilitates and documents a team retrospective capturing what went well, what to improve, and action items. Use at the end of a sprint, project, or milestone to reflect and improve team practices. To bank individual learnings into organizational memory afterward, use iterate-lessons-log.Productivitate★ 760
- session-contextpskoett/pskoett-ai-skills[Beta] Retrieves task-relevant prior sessions and returns a short, cited brief of decisions, corrections, failed approaches, and unresolved work. Use after the initial intent frame and before finalizing the approach, when asked to find related work, or when a concrete history gap could change the approach.Productivitate★ 321
- learning-looprobium-ai/robiumRun Robium's learning cycle when asked or when its session-start reminder is approved: consolidate captured signals, absorb ready guidance, refine skills, and inspect learning status.Altele★ 100
- workflow-auditMark393295827/third-brain-v7-skillsUse when manual work, prior sessions, or an operator interview must be audited for repeatable skill, automation, or bounded-loop candidates.Productivitate★ 141
Note și recenzii
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