api_integration
Skill0 starsChanged 6 months agoMITView on GitHub
Connect to external APIs, fetch data, send requests, integrate services.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/stack.mdcCursor rule
- audio_transcriptionSkill
- auto_agentsSkill
- browserSkill
- code_analysisSkill
- code_executionSkill
- data_analystSkill
- deep_researchSkill
- docsSkill
- emailSkill
- git_integrationSkill
- gmailSkill
- google_sheetsSkill
- image_generationSkill
- messagingSkill
- notionSkill
- ocrSkill
- parsingSkill
- ragSkill
- researchSkill
- rss_newsSkill
- schedulerSkill
- self_devSkill
- slidesSkill
- social_mediaSkill
- sql_dbSkill
- templateSkill
- translationSkill
- video_processingSkill
- visionSkill
- voice_ioSkill
- web3Skill
- web_automationSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
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 21
When asked to work with APIs:
- Distinctive: line 22
Use api_get for reading data
- Distinctive: line 23
Use api_post for creating data
- Distinctive: line 24
Use api_put for updating data
- Distinctive: line 25
Use api_delete for removing data
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
API Integration Skill
Instructions
When asked to work with APIs:
- Use api_get for reading data
- Use api_post for creating data
- Use api_put for updating data
- Use api_delete for removing data
- Handle errors gracefully and retry if needed
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.

