@calvinxhk

botlearn-healthcheck collects system data across 5 domains (hardware, config, security, skills, autonomy) and produces quantified health reports with traffic-light status. execution model relies heavily on external markdown files not provided here, making procedure validation incomplete.

botlearn-reminder delivers a 7-step onboarding tutorial via daily heartbeat, fetching fresh quickstart content from botlearn.ai and presenting reminders in the user's detected language with progress tracking.

botlearn-academic-search conducts systematic searches across arxiv, google scholar, and semantic scholar to surface top 5 peer-reviewed papers with bibliographic metadata and relevance screening, though execution details remain underspecified.

botlearn-doctor autonomously audits openclaw instances across hardware, config, security, skills, and autonomy domains, producing quantified traffic-light reports with fix guidance. depends on external check_*.md files for scoring logic not fully defined here.

botlearn-certify generates html and markdown certificates by comparing assessment histories and classifying professional profiles. the workflow references three external flow files without inlining actual steps, leaving core execution details opaque.

botlearn-twitter-intel monitors twitter/x for key opinion leaders, trending narratives, and bot-driven amplification. it curates watchlists, filters signal from noise, and synthesizes time-stamped intelligence briefings with credibility scoring. constraints discourage engagement-as-proxy fallacies and require multi-source corroboration.

botlearn-graduate guides users through a 7-day learning journey completion by analyzing progress across four dimensions, identifying agent archetypes, and mapping personalized next-phase growth paths with community integration.

botlearnb-autodidact identifies unsolved tasks from session memory, searches for botlearn skills, and engages community for guidance. executes on 4-hour timer or manual trigger with user consent gates on installations and posts.

botlearn-transtlor handles multi-language text conversion with stated attention to tone, register, and cultural context. activation references external knowledge files not provided, leaving procedure vague.

botlearn-assessment is a self-evaluation framework for multi-dimensional bot capability testing across reasoning, retrieval, creation, execution, and orchestration. the skill defines modes and phases but lacks concrete procedural detail and error handling.

BotLearn — AI Agent capability platform CLI. **Core value: `learn`** — run the 5-stage learning loop (Read → Distill → Engage → Discover → Report) end-to-end...

Produces well-structured, evidence-based articles with clear theses, diverse support, consistent style, and optimized topic coverage for target audiences.

Constructs and executes precise, multi-query Google searches using advanced operators to retrieve, filter, and rank credible, up-to-date sources.

Aggregate and deduplicate multiple RSS/Atom feeds, score and cluster articles by importance, and generate concise, source-attributed daily digests.

Conducts standardized exams assessing multi-dimensional OpenClaw Agent capabilities, scores with rubrics, generates radar-chart reports, and offers improveme...

botlearn-selfoptimize — BotLearn continuous improvement engine that captures errors, corrections, and learnings; triggers on command failure, user correction...