AI SDK Development
trypostit/trypost
TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK.
Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.
Install Dotnet AI Stack
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stack --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .claude/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .claude/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stack --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .agents/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .agents/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stack --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .cursor/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .cursor/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/atherio-danp/cde-dotnetcc.git --path .claude/skills/dotnet-ai-stack--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stack --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .gemini/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .gemini/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .github/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .github/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install atherio-danp/cde-dotnetcc dotnet-ai-stack --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atherio-danp/cde-dotnetcc.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/dotnet-ai-stack .opencode/skills/dotnet-ai-stack && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dotnet-ai-stack" agent skill from https://github.com/atherio-danp/cde-dotnetcc/tree/main/.claude/skills/dotnet-ai-stack into .opencode/skills/dotnet-ai-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dotnet-ai-stack", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dotnet-ai-stack- GitHub stars
- 109
- Token cost
- ~1.2k tokens
- SKILL.md length
- 460 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- None found
At a glance
Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.
- Changing anything that talks to a model
- SKILL.md covers Task → technology, Guardrails (the substance —…, Anti-patterns (ours +… and Validate
- Calls dotnet
- Orchestrates agents (your agentic pipeline)
What it does
Dotnet AI Stack is an agent skill from atherio-danp/cde-dotnetcc. Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming. Use when adding or changing anything that talks to a model or orchestrates agents (your agentic pipeline). Tailored to our LLM provider + MAF + pgvector stack.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Structured output and tool calling, Vector databases and Retrieval-augmented generation. It works with .NET and pgvector. The repository describes itself as: Claude Code harness for .NET developers.
When your agent uses it
- Changing anything that talks to a model
- Orchestrates agents (your agentic pipeline)
Example prompts
- “/dotnet-ai-stack”
Requirements
- Pre-approved tools (allowed-tools): Read, Glob, Grep, Edit, Write, Bash, mcp__serena__initial_instructions, mcp__serena__get_symbols_overview, mcp__serena__find_symbol, mcp__serena__find_referencing_symbols, mcp__serena__find_declaration, mcp__serena__find_implementations, mcp__serena__search_for_pattern, mcp__serena__get_diagnostics_for_file, mcp__serena__list_dir, mcp__serena__find_file, mcp__serena__create_text_file, mcp__serena__replace_symbol_body, mcp__serena__insert_after_symbol, mcp__serena__insert_before_symbol, mcp__serena__replace_content, mcp__serena__rename_symbol, mcp__serena__safe_delete_symbol
What it can do on your machine
Read from SKILL.md and the folder at commit c72a3f9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepEditWriteBashmcp__serena__initial_instructionsmcp__serena__get_symbols_overviewmcp__serena__find_symbolmcp__serena__find_referencing_symbols
…and 13 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
dotnet
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dotnet AI Stack loads about 1.2k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 460 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Glob, Grep, Edit, Write, Bash, mcp__serena__initial_instructions, mcp__serena__get_symbols_ove
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 460 words (~1,237 tokens).
“Our substrate is Microsoft.Extensions.AI (MEAI, the IChatClient seam) + Microsoft Agent Framework (MAF, Microsoft.Agents.AI), provider = your LLM provider, vectors = pgvector on our PostgreSQL, hosting = your (EU) host. This skill adapts Microsoft's technology-selection guidance to those decisions. Read…”
- name
- dotnet-ai-stack
- allowed-tools
- Read, Glob, Grep, Edit, Write, Bash, mcp__serena__initial_instructions, mcp__serena__get_symbols_overview, mcp__serena__find_symbol, mcp__serena__find_referencing_symbols, mcp__serena__find_declaration, mcp__serena__find_implementations, mcp__serena__search_for_pattern, mcp__serena__get_diagnostics_for_file, mcp__serena__list_dir, mcp__serena__find_file, mcp__serena__create_text_file, mcp__serena__replace_symbol_body, mcp__serena__insert_after_symbol, mcp__serena__insert_before_symbol, mcp__serena__replace_content, mcp__serena__rename_symbol, mcp__serena__safe_delete_symbol
Files
Just SKILL.md in .claude/skills/dotnet-ai-stack of atherio-danp/cde-dotnetcc.
Open the folder on GitHubat commit c72a3f9
Compare with similar skills
Dotnet AI Stack next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dotnet AI Stack this skillatherio-danp/cde-dotnetcc | 109 | — | ~1.2k | Automated safety check: Notes | None | |
| AI SDK Developmenttrypostit/trypost | 676 | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Pgvector Semantic Searchtimescale/pg-aiguide | 1.9k | 1 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| RAG ArchitectJeffallan/claude-skills | 12k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Postgres Hybrid Text Searchtimescale/pg-aiguide | 1.9k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| RAG Implementationwshobson/agents | 40k | 9 repos | ~1.1k | Automated safety check: Pass | MIT |
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A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
RAG Architect
Jeffallan/claude-skills
Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.
Postgres Hybrid Text Search
timescale/pg-aiguide
A skill your agent uses to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).
RAG Implementation
wshobson/agents
Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.
Langchain
Orchestra-Research/AI-Research-SKILLs
Framework for building LLM-powered applications with agents, chains, and RAG.
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Scan .NET/C code for performance anti-patterns (async, memory/strings, collections/LINQ, regex, serialization, I/O) with tiered severity, reporting findings without editing.
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Related
Categories
Questions about Dotnet AI Stack
What does Dotnet AI Stack do?
Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming. Dotnet AI Stack is an agent skill from atherio-danp/cde-dotnetcc.NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.
When should I use Dotnet AI Stack?
Dotnet AI Stack fits situations like: changing anything that talks to a model; orchestrates agents (your agentic pipeline).
How do I install Dotnet AI Stack in Claude Code?
Run `npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a claude-code`. Or copy the skill folder (.claude/skills/dotnet-ai-stack in atherio-danp/cde-dotnetcc) into .claude/skills/dotnet-ai-stack in your project. Claude Code loads it when a task matches its description.
How do I install Dotnet AI Stack in Codex?
Run `npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a codex`. Or copy the skill folder (.claude/skills/dotnet-ai-stack in atherio-danp/cde-dotnetcc) into .agents/skills/dotnet-ai-stack in your project. Codex loads it when a task matches its description.
Can I use Dotnet AI Stack in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add atherio-danp/cde-dotnetcc --skill dotnet-ai-stack -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dotnet-ai-stack, .gemini/skills/dotnet-ai-stack, .github/skills/dotnet-ai-stack and .opencode/skills/dotnet-ai-stack in your project.
What does Dotnet AI Stack need to run?
Going by SKILL.md and its folder, Dotnet AI Stack needs the command-line tools its instructions call (dotnet). Its frontmatter pre-approves these tools: Read, Glob, Grep, Edit, Write, Bash, mcp__serena__initial_instructions, mcp__serena__get_symbols_overview, mcp__serena__find_symbol, mcp__serena__find_referencing_symbols, mcp__serena__find_declaration, mcp__serena__find_implementations, mcp__serena__search_for_pattern, mcp__serena__get_diagnostics_for_file, mcp__serena__list_dir, mcp__serena__find_file, mcp__serena__create_text_file, mcp__serena__replace_symbol_body, mcp__serena__insert_after_symbol, mcp__serena__insert_before_symbol, mcp__serena__replace_content, mcp__serena__rename_symbol, mcp__serena__safe_delete_symbol.
Does Dotnet AI Stack access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dotnet AI Stack safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Dotnet AI Stack use?
No licence was found for Dotnet AI Stack or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Dotnet AI Stack use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Dotnet AI Stack?
Skills that share tags, products or a category with Dotnet AI Stack: AI SDK Development (trypostit/trypost, 676 stars), Pgvector Semantic Search (timescale/pg-aiguide, 1.9k stars), RAG Architect (Jeffallan/claude-skills, 12k stars) and Postgres Hybrid Text Search (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dotnet AI Stack?
atherio-danp (a GitHub user) maintains it in atherio-danp/cde-dotnetcc, which has 109 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on July 26, 2026.
Source: atherio-danp/cde-dotnetcc on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.