LLMs-Universal-Life-Science-and-Clinical-Skills- AI_Provider_GitHub_Maintainers_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 "$T/Skills/AI_Providers/AI_Provider_GitHub_Maintainers_2026" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-ai-provider-github && rm -rf "$T"
manifest: Skills/AI_Providers/AI_Provider_GitHub_Maintainers_2026/SKILL.md
source content
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name: ai-provider-github-maintainers-2026 description: Track official AI provider GitHub repositories and release health for reliable integrations. Use when auditing SDK freshness, selecting maintained repos, or planning upgrades based on release cadence and issue velocity. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

AI Provider GitHub Maintainers (2026)

Workflow

  1. Start from the official repository list in
    references/providers.md
    .
  2. Check release cadence and open issue trends for each dependency.
  3. Prefer provider-maintained SDKs over third-party wrappers.
  4. Pin versions for production, then test upgrade candidates in staging.
  5. Record upgrade windows and rollback procedures.

Output Requirements

  • List selected repositories with short rationale.
  • Flag stale repositories and replacement options.
  • Include an upgrade test checklist.
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