LLMs-Universal-Life-Science-and-Clinical-Skills- Anthropic_Claude_Operations_2026

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install
source · Clone the upstream repo
git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/AI_Providers/Anthropic_Claude_Operations_2026" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-anthropic-claude-o && rm -rf "$T"
manifest: Skills/AI_Providers/Anthropic_Claude_Operations_2026/SKILL.md
source content
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name: anthropic-claude-operations-2026 description: Integrate and operate Anthropic Claude APIs with current model lifecycle guidance. Use when implementing Claude-based assistants, tool use, long-context reasoning, or when planning model upgrades based on release notes and deprecations. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

Anthropic Claude Operations (2026)

Workflow

  1. Check release notes and deprecation notes in
    references/sources.md
    .
  2. Choose model tier based on latency, cost, and reasoning depth.
  3. Align tool-use strategy with official patterns before custom wrappers.
  4. Define retries, safety checks, and fallback behavior.
  5. Confirm expected behavior with a focused prompt/tool test.

Output Requirements

  • State chosen Claude model and why.
  • State any known deprecation risk and deadline.
  • List one fallback path for service continuity.
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