skills/learning-first-principles/SKILL.md
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice.
npx skillsauth add hexbee/hello-skills learning-first-principlesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The essence of learning is internal drive rather than external infusion:
| Level | Anti-pattern (Avoid) | Positive Pattern (Pursue) | |------|---------------------|--------------------------| | Learning View | Relying on tutoring/external input | Self-learning driven | | Methodology | Time-consuming/mechanical repetition | Induction & summary | | Processing | Mechanical copying | Self-output | | Output | Simple repetition | Expression restructuring | | Expression | Formal/template-based | Logic-driven | | Understanding | Stopping at theory | Practice verification |
When users provide learning content, methods, or plans, analyze from these dimensions:
User Input: I want to learn Python, signed up for a training class, 2 hours of class daily
Analysis Output:
Diagnosis:
- Relying on external input (training class) instead of self-learning driven
- Passive reception instead of active exploration
Improvement Suggestions:
1. First set a specific project goal (e.g., office automation script)
2. Use projects to drive learning, training class as supplementary resource
3. Spend 1 hour daily on projects, 0.5 hours on targeted lectures
Efficiency Assessment:
- Current: Low (passive learning, high forgetting rate)
- Optimized: High (active construction, transferable)
testing
Diagnose and fix Docker image pull failures on macOS with OrbStack, especially Docker Hub EOF/TLS/manifest errors caused by system proxies, Clash/CyberClash/Mihomo/Surge-style TUN mode, fake-ip DNS such as 198.18.0.x, or unstable registry access. Use when `docker pull` or `docker manifest inspect` fails with EOF, SSL_ERROR_SYSCALL, failed to fetch anonymous token, failed to resolve reference, failed to copy, or registry-1.docker.io/auth.docker.io connectivity confusion.
development
Generate and revise job resumes from raw notes, existing resumes, career histories, or profile snippets. Use when Codex needs to create, redesign, tighten, or review a resume/CV, especially for Chinese or English A4 resumes, PDF/HTML output, first-screen hiring signal, skill ordering, pagination balance, header/contact layout, or reframing an engineering background for AI-focused roles.
development
Convert a public webpage URL into Markdown and save it as a reusable `.md` file with the bundled script. Prefer `https://r.jina.ai/<url>` first, and only fallback to `https://markdown.new/` if `r.jina.ai` is unavailable. Use this whenever the user wants to turn a public webpage, article, documentation page, blog post, release note, or reference URL into Markdown for reading, archiving, summarizing, extraction, RAG prep, or downstream agent reuse, even if they do not explicitly mention markdown or saving a file.
tools
Design agent-usable SaaS tool systems using six reusable tool shapes (Search, Summarize, Draft, Update, Notify, Approve) plus connectors and policy guardrails. Use when turning SaaS features into reliable agent actions with clear contracts, permissions, audit trails, and approval gates.