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cubexteamcubexteam/claude-sandbox-env/skills/public/product-self-knowledge/SKILL.md

product-self-knowledge

Skill1 starsChanged 7 months agoMITView on GitHub

Stop and consult this skill whenever your response would include specific facts about Anthropic's products. Covers: Claude Code (how to install, Node.js requirements, platform/OS support, MCP server integration, configuration), Claude API (function calling/tool use, batch processing, SDK usage, rate limits, pricing, models, streaming), and Claude.ai (Pro vs Team vs Enterprise plans, feature limits). Trigger this even for coding tasks that use the Anthropic SDK, content creation mentioning Claude capabilities or pricing, or LLM provider comparisons. Any time you would otherwise rely on memory for Anthropic product details, verify here instead — your training data may be outdated or wrong.

11 other projects use a version of this, 8 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use esmfold2, fair-esm2 and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • JimLiuSkill

    esmfold2

    Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release: masked-LM logits, hidden states, mutation scoring, contact prediction, and the SAE interpretability head. MIT-licensed weights on HuggingFace org `biohub`. Use this skill when: (1) Predicting complex structures with single-sequence input, (2) Validating designed binders with ESMFold2-Fast, (3) Running ESMFold2 with MSA input, (4) Getting ESMC embeddings or per-residue mutation scores, (5) Choosing kernel backend and sampling-step settings for paper-faithful throughput.

    Also in 3 projects that use this

  • JimLiuSkill

    fair-esm2

    Embed proteins with Meta AI's ESM-2 (`fair-esm` package). Use this skill when: (1) Extracting per-residue or per-sequence embeddings for downstream ML, (2) Masked-LM likelihood / mutation effect scoring, (3) Contact prediction from a sequence.

    Also in 3 projects that use this

  • +8 more from JimLiu

The file

We split this skill into the rules it gives an agent

3 rules. 3 are common, 0 are distinctive, and 0 are very specific to this project.

  • 3

    Common

    Most of the 6 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Accuracy over guessing: - Check official docs when uncertain

    line 10
  2. Common:

    Source everything: - Always include official documentation URLs

    line 12
  3. Common:

    Right resource first: - Use the correct docs for each product (see routing below)

    line 13

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Anthropic Product Knowledge

Core Principles

  1. Accuracy over guessing - Check official docs when uncertain
  2. Distinguish products - Claude.ai, Claude Code, and Claude API are separate products
  3. Source everything - Always include official documentation URLs
  4. Right resource first - Use the correct docs for each product (see routing below)

Question Routing

Claude API or Claude Code questions?

→ Check the docs maps first, then navigate to specific pages:

Claude.ai questions?

→ Browse the support page:

Response Workflow

  1. Identify the product - API, Claude Code, or Claude.ai?
  2. Use the right resource - Docs maps for API/Code, support page for Claude.ai
  3. Verify details - Navigate to specific documentation pages
  4. Provide answer - Include source link and specify which product
  5. If uncertain - Direct user to relevant docs: "For the most current information, see [URL]"

Quick Reference

Claude API:

Claude Code:

Claude.ai:

Other:

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