add-agent
Skill84 starsChanged 7 months agoMITView on GitHub
Create a new AI agent on a live LiteLLM proxy. Asks for agent name, the underlying model, and optional MCP server access, then calls POST /v1/agents.
- Reads credentials
- Sends data out
9 other projects use a version of this.
Adopted by
Most recently taken up by
- venkateshv1266/pi-harnesstheir own version, first seen Nov 1, 2026
- chacosoldier/compabobtheir own version, first seen Oct 23, 2026
- axrmxv/claude-configtheir own version, first seen Oct 13, 2026
- FISHers6/clawBrotheir own version, first seen Oct 8, 2026
- rgoerwit/ai-investment-agenttheir own version, first seen Oct 8, 2026
- mattolson/agent-sandboxtheir own version, first seen Oct 8, 2026
Used with
Projects with it also use setup.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
VercelSkillsetup
Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".
Also in 3 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- microsoft/Sico★ 253same name
- mattolson/agent-sandbox★ 212same name
- rgoerwit/ai-investment-agent★ 71same name
- chacosoldier/compabob★ 34same name
- FISHers6/clawBro★ 28same name
- venkateshv1266/pi-harness★ 2same name
- axrmxv/claude-config★ 1same name
- theopengroup/rune-harness★ 1same name
- tjg37/ironclaw★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository20 other files it gives its agents.
- add-keySkill
- add-mcpSkill
- add-modelSkill
- add-orgSkill
- add-teamSkill
- add-userSkill
- delete-agentSkill
- delete-keySkill
- delete-mcpSkill
- delete-modelSkill
- delete-orgSkill
- delete-teamSkill
- delete-userSkill
- update-agentSkill
- update-keySkill
- update-mcpSkill
- update-modelSkill
- update-teamSkill
- update-userSkill
- view-usageSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Create a new AI agent on a live LiteLLM proxy.
- Distinctive: line 20
Ask for these if not already known:
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Add Agent
Create a new AI agent on a live LiteLLM proxy.
Setup
Ask for these if not already known:
LITELLM_BASE_URL — e.g. https://my-proxy.example.com
LITELLM_API_KEY — proxy admin keyAPI reference: https://docs.litellm.ai/docs/proxy/agents
Ask the user
- Agent name (required, e.g.
my-coding-agent) - Model — which LiteLLM model should this agent use (e.g.
gpt-4o,claude-3-5-sonnet) - Description (optional, shown to callers)
- MCP servers (optional) — list of
server_ids this agent can use
Run
curl -s -X POST "$BASE/v1/agents" \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{
"agent_name": "<name>",
"litellm_params": {
"model": "<model>"
},
"agent_card_params": {
"name": "<name>",
"description": "<description>",
"version": "1.0"
}
}'List existing agents
curl -s "$BASE/v1/agents" \
-H "Authorization: Bearer $KEY"Get agent info
curl -s "$BASE/v1/agents/<agent_id>" \
-H "Authorization: Bearer $KEY"Delete an agent
curl -s -X DELETE "$BASE/v1/agents/<agent_id>" \
-H "Authorization: Bearer $KEY"Output
Show agent_id — needed to call or delete this agent later.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

