llm-provider
Implement or refine report generation providers behind the LLMProvider port.
Skill by smaje99
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/smaje99-llm-provider
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, ml, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/llm-provider
What's inside
- Skill name
llm-provider- Description
- Implement or refine report generation providers behind the LLMProvider port. Use when adding OpenAI-compatible providers, Ollama support, provider configuration, or prompt and artifact persistence behavior.
- License
- MIT
- Instructions
- 31 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# LLM Provider ## Goal Implement or refine report-generation providers behind the `LLMProvider` port. ## When To Use - Adding OpenAI-compatible support - Adding Ollama or another model host - Updating provider configuration behavior ## Steps 1. Keep prompt rendering separate from transport. 2. Model request and response payloads explicitly. 3. Redact secrets everywhere. 4. Emit remote-provider privacy warnings from CLI or application policy. 5. Persist prompt and raw response artifacts. ## Checklist - Provider is selected through config or CLI options - HTTP concerns stay in infrastructure - Error messages include provider and model context ## Exit Criteria Providers are interchangeable and traceable.
From smaje99/orgdoc, MIT.
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Create or revise prompt templates that produce structured Markdown reports.
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Generate PDFs from report Markdown through Pandoc and LaTeX while preserving source artifacts.
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Keep the project aligned with PyPI distribution requirements.
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Prepare repeatable release builds and installation validation for the CLI.
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Guide unit and integration coverage without coupling tests to heavyweight local dependencies.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 12, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/smaje99/orgdoc
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
llm-provider skill. Agent Mart. https://agentmart.dev/skills/smaje99-llm-provider (last updated 2026-10-24)