Azsdk Common Pipeline Troubleshooting
Azure/azure-sdk-for-android
Diagnose and resolve failures in Azure SDK CI and generation pipelines.
Drive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro).
$ npx skills add salitronic/eda-agent --skill autodesign -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install salitronic/eda-agent autodesign --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/salitronic/eda-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autodesign .claude/skills/autodesign && 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 "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .claude/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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/salitronic/eda-agent/tree/main/skills/autodesignType 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 salitronic/eda-agent --skill autodesign -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install salitronic/eda-agent autodesign --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/salitronic/eda-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autodesign .agents/skills/autodesign && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .agents/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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 salitronic/eda-agent --skill autodesign -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install salitronic/eda-agent autodesign --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/salitronic/eda-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autodesign .cursor/skills/autodesign && 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 "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .cursor/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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/salitronic/eda-agent.git --path skills/autodesign--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 salitronic/eda-agent --skill autodesign -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install salitronic/eda-agent autodesign --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/salitronic/eda-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autodesign .gemini/skills/autodesign && 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 "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .gemini/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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 salitronic/eda-agent autodesignInstalls 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 salitronic/eda-agent --skill autodesign -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/salitronic/eda-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autodesign .github/skills/autodesign && 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 "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .github/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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 salitronic/eda-agent --skill autodesign -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install salitronic/eda-agent autodesign --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/salitronic/eda-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autodesign .opencode/skills/autodesign && 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 "autodesign" agent skill from https://github.com/salitronic/eda-agent/tree/main/skills/autodesign into .opencode/skills/autodesign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodesign", 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.
autodesignDrive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro).
Autodesign is an agent skill from salitronic/eda-agent. Drive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro). Apply when the user asks to design a board/schematic from a requirement, wants an end-to-end autonomous design run, or mentions the design harness, designnextaction, design sessions, or spec-to-board. Requires the eda-agent MCP server connected to a running Altium Designer or EasyEDA Pro; the KiCad backend does not register the design harness.
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 Agent Workflows, covering MCP servers and Design review and critique. It works with Model Context Protocol and EasyEDA. The repository describes itself as: Open-source MCP server that lets an AI drive a live session of Altium Designer, and optionally KiCad or EasyEDA Pro, editing the open design in place while you watch. 300+ tools… The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fc97ec8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Autodesign loads about 1.2k tokens when it runs. Until then it costs about 117 tokens; SKILL.md has 574 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.
The automated check found no risky patterns in SKILL.md.
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.
The full file from salitronic/eda-agent at commit fc97ec8, republished under its Apache-2.0 licence (© salitronic). 574 words, ~1,175 tokens.
.claude/skills/autodesign/SKILL.md (or your agent's skills folder).Drive a full spec-to-board design by looping the server-side state machine.
The server owns sequencing, gates, and durable state, so you never memorize
the workflow: you call design_next_action, do what it says, log the
result, and repeat. A weaker model produces a plainer board, never a broken
pipeline, because the integrity lives server-side.
app_ping on Altium or
easyeda_ping on EasyEDA. Ping, not app_get_status: status reports
that the process exists and that something once called attach, and
neither of those proves the bridge replies. If it does not answer, tell
the user how to start it; don't guess.design_get_discipline once: the hard rules and the DesignPlan
schema. Or call design_autonomy_guide for the full protocol + the 13
stages with their tools and exit gates.design_session_start(requirement) opens the durable journal. Keep the
returned session_id; every later call takes it. Then design_live_view
so the user can watch the board change, and record each decision with
its reason before acting on it (design_live_note).app_checkpoint("before autonomous run")
on Altium, easyeda_checkpoint on EasyEDA.design_next_action(session_id) and act on status:suggested_tools until the
exit_gate is met, then
design_session_log(event="stage_result", stage=<stage>, status="ok").
Where the gate names numbers (placement, routing, pours, verification),
measure them with pcb_layout_audit and pass the result as data=:
the harness checks them and sends the stage back if one fails.
If you cannot finish without the user, log status="blocked" with a
question and stop.open_question to the user; when answered,
design_session_log(event="resolved", text=<answer>) and continue.design_session_report and review outputs with the user.sch_to_pcb,
routing, pours_tuning.design_job_start and poll design_job_status /
design_job_result.Bounded retries: a stage that fails 3 times escalates to a human question automatically. Don't loop past it; surface it.
The discipline's "Board layout method" is the standard: floorplan before placement (fixed skeleton, critical corridors, sections, one rectangle per sub-block in signal-flow order), each block laid out to a pattern, the legaliser's moves read rather than accepted, routing in stages (pairs, plane fan-out with dog-bones, buses as a whole, then the rest), and one small checked step at a time. A scattered placement means the method is wrong; no parameter fixes it.
A run survives context loss. In a fresh session, call
design_session_resume(session_id) (or design_next_action) and pick up
from recorded state: the journal, not the chat history, is the source of
truth.
The surface is 350+ tools. Use tool_catalog(category=, maturity=, interaction=, query=) to find the right one without loading every schema;
interaction="modal" and "partial" flag tools that need a human or leave
work incomplete. Run a discovered tool by name with tool_invoke.
© salitronic, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/autodesign of salitronic/eda-agent.
Open the folder on GitHubat commit fc97ec8
Autodesign 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 |
|---|---|---|---|---|---|---|
| Autodesign this skillsalitronic/eda-agent | 238 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Azsdk Common Pipeline TroubleshootingAzure/azure-sdk-for-android | 121 | — | ~496 | Automated safety check: Pass | MIT | |
| Easyeda Copilotbiosshot/easyeda-copilot | 165 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Azsdk Common Pipeline AnalysisAzure/azure-sdk-tools | 134 | — | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT |
Azure/azure-sdk-for-android
Diagnose and resolve failures in Azure SDK CI and generation pipelines.
biosshot/easyeda-copilot
Create, modify, place, route, or review EasyEDA schematics and PCBs with EasyEDA Copilot, using direct MCP tools when available or the generated standalone CLI skill.
Azure/azure-sdk-tools
Analyze Azure SDK CI/CD pipeline failures into a structured diagnosis, and define the required output format.
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
Works with
Categories
Drive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro). Autodesign is an agent skill from salitronic/eda-agent. Drive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro).
Autodesign fits situations like: asks to design a board/schematic from a requirement; wants an end-to-end autonomous design run; mentions the design harness; designnextaction.
Run `npx skills add salitronic/eda-agent --skill autodesign -a claude-code`. Or copy the skill folder (skills/autodesign in salitronic/eda-agent) into .claude/skills/autodesign in your project. Claude Code loads it when a task matches its description.
Run `npx skills add salitronic/eda-agent --skill autodesign -a codex`. Or copy the skill folder (skills/autodesign in salitronic/eda-agent) into .agents/skills/autodesign in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add salitronic/eda-agent --skill autodesign -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autodesign, .gemini/skills/autodesign, .github/skills/autodesign and .opencode/skills/autodesign in your project.
SKILL.md names no scripts, command-line tools or credentials: Autodesign is instructions for the agent only.
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.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Autodesign is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Autodesign: Azsdk Common Pipeline Troubleshooting (Azure/azure-sdk-for-android, 121 stars), Easyeda Copilot (biosshot/easyeda-copilot, 165 stars), Azsdk Common Pipeline Analysis (Azure/azure-sdk-tools, 134 stars) and MCP Server Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
salitronic (a GitHub user) maintains it in salitronic/eda-agent, which has 238 GitHub stars. The repository was last updated on October 6, 2026.
Source: salitronic/eda-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.