Mémoire d'expérience et rétro-amélioration contrôlée — runs → leçons, propositions de mises à jour de skills et classements de stratégies, avec tests et validation humaine avant promotion.
32 on GitHubv0.1.0MITupdated 11 days agoself-improvement
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Plugin learning-engine from marketplace tricorderkit in GeekFamilyCorp/TricorderKit. Commands read from the repo's manifest — 11 days ago.
What it installs
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Économie de tokens : routage manuel par alias de modèle (model-router), budget estimé (status/analyze/optimize), sortie compressée caveman, handoff de contexte (context-compress), documentation fraîche via Context7 (docs-fresh) ; models.json unique.
Discipline de développement TricorderKit : cadrage (interview-me), protocole spec→plan→sous-agents→tests→ship (dev-protocol), revue adverse (doubt-driven-development), débogage par cause racine, correction/durcissement web OWASP (code-corrector), observabilité des automatisations.
Méta-compétences TricorderKit : gestion et audit de l'écosystème de skills (skill-manager), evals de skills (skill-evals), transformation de documentation en skill (doc-to-skill), orchestration de livrables non-code (head-agent).
Sécurité de la surface agent : audit lecture seule de la configuration (MCP, hooks, permissions, secrets en clair, code non épinglé) et compression CLI rtk avec installation épinglée.
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
Use Amplitude as an expert analyst — instrument Amplitude, discover product opportunities, analyze charts, create dashboards, manage experiments, and understand users and accounts.
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
2 skills · 1 command · 3 agents
wshobson/agents 42,461
Maintain learning-engine?
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