Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Systems Engineering Skills MCP Server Clean and map my requirements spreadsheet, show field mapping."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
100 free systems engineering skills for your AI assistant.
Clean requirements. Review against ECSS. Derive sub-requirements. Check verification evidence. By Arc. Powered by the Arc Skills toolkit. No account needed.
Browse all 100 skills → · Setup · Example prompts
What you have | Skill | What you get |
A messy requirements spreadsheet | A cleaned table, field mapping, import proposal and issues | |
A customer specification PDF | A requirement register with IDs, page references and open questions | |
A requirement + the applicable ECSS edition | Findings tied to inspected criteria, with proposed corrections | |
A parent requirement | Proposed children, derivation rationale and unresolved decisions | |
Parent and child requirements | Gaps, unsupported additions and a coverage table | |
A requirements specification | Conflicting pairs, shared conditions and proposed resolutions | |
Requirements awaiting verification | Requirement-to-method mapping and missing acceptance criteria | |
Test results + acceptance criteria | Evidence assessment, limitations and unresolved outcomes | |
A tender + your response evidence | Clause-by-clause responses, evidence and exceptions | |
Two versions of a specification | A change register and candidate verification impacts |
There are also skills for interfaces, architecture, budgets, safety, reliability, change control and design reviews. See the full menu →
Related MCP server: DJAI Tools MCP
Download this repo using Code → Download ZIP. Open the unzipped folder in Codex, or attach the ZIP to a ChatGPT conversation that supports file analysis.
Copy and paste this setup prompt:
Set up Arc Skills from:
https://github.com/ArcHelps/systems-engineering-skills
Use the repository or ZIP I provided, or fetch the public repository if your tools allow it.
Read README.md and docs/SETUP.md, then choose the route this client supports.
If you can run local commands, install the locked dependencies, connect the local
MCP to Codex using the documented configuration, and check skill discovery.
Use a dedicated arc-engineering-work folder for inputs and new outputs.
Keep my existing settings and source files intact. Do not publish or upload my files.
If you cannot run a local MCP, read the attached catalogue and load only the
selected skill and its references for this conversation. Explain any unavailable tools.
Show me five relevant skills and run the synthetic requirements example if possible.
Say which route actually worked and whether I need to restart or enable anything.Where you use it | What works |
Codex on your computer | Local MCP with all 100 skills and file tools. Recommended. |
ChatGPT web | Attached skill instructions + ChatGPT's available file tools. This does not install the MCP. |
Claude Desktop / other local MCP clients | The same local MCP; connection instructions. |
Local setup needs Python 3.11+ and uv. No Arc account or model API key needed.
Attach a file or place it in your configured work folder, then paste a prompt:
Clean requirements
Use Arc Skills to clean and map customer-requirements.xlsx.
Preserve every source ID and original statement. Show the field mapping,
duplicate IDs, TBDs/TBCs, missing information and unresolved links.
Give me a cleaned workbook and an import proposal. Reconcile all row counts.Review a specification
Use Arc Skills to extract and review this requirements PDF.
Keep page references, notes, figures and deleted requirements visible.
Give me a requirements table and the most consequential issues first:
contradictions, broken references, unclear limits and unverifiable statements.
Separate confirmed problems from ambiguities. Don't invent missing values.Review against ECSS
Use Arc Skills to review REQ-014 against the ECSS-E-ST-10-06 edition
I attached. Cite the inspected criteria, explain each finding and propose
the smallest correction. Preserve the original wording beside the proposal.
If you cannot inspect the applicable standard, label the review advisory.No file yet?
Use Arc Skills to review this requirement:
"The unit shall provide an appropriate warning quickly."
Explain what is missing and propose clearer wording without inventing a latency.The local MCP processes files in your chosen folder and sends no customer data to Arc. Your assistant and its AI provider still process the content used in the conversation. ChatGPT uploads follow ChatGPT's policies. Data flow →
The skills and code are free under the MIT license. Your AI assistant may have its own charges. Standards are not bundled; provide authorized copies when needed. Engineering edits are proposals for your review, with source wording preserved.
This server cannot be deployed
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
Compiles structured specs into SCORM 1.2/2004 e-learning packages. 30 tools, quality gate, no LLM.
Governance copilot for AI-assisted coding. 72 packs, 532 rules, proof bundles.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
