api-design
Skill1 starsChanged 5 months agoMITView on GitHub
Design stable, well-shaped interfaces before implementing them — HTTP/REST endpoints, MCP tools, or library/module APIs. Use when adding a public endpoint, defining a contract between modules, designing MCP tools, or shaping a library's surface. Focuses on naming, contracts, error shapes, versioning, and backward compatibility — the parts that are expensive to change later.
191 other projects use a version of this.
Adopted by
Most recently taken up by
- RostislavDugin/postgresustheir own version, first seen Nov 8, 2026
- Markssuave/Markssuave-Agent-skillstheir own version, first seen Nov 8, 2026
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- ishandutta2007/Awesome-Claude-Skillstheir own version, first seen Nov 8, 2026
- databasus/databasustheir own version, first seen Nov 8, 2026
- lhbsaa/apex-unifiedtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use db-design, everything-claude-code and 10 more.
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.
yuexueyuSkilldb-design
数据库工程师技能 - Schema设计、索引优化、并发安全、数据库审计。当你涉及数据库表/字段/索引/SQL/迁移/MCP数据库操作、建表改表、写查询时必须使用此技能。即使用户只是说"加个字段"或"查下数据",也应触发。
Also in 4 projects that use this
InfopibeSkilleverything-claude-code
Also in 9 projects that use this
mryeastcodeSkilleverything-claude-code-conventions
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Also in 8 projects that use this
tpavanipradeepSkillnextjs-turbopack
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Also in 15 projects that use this
Indium-AI-LabsSkilldata-pipeline-design
Design batch or incremental ETL and ELT pipelines and warehouse models: grain, partitioning, idempotent loads, late-arriving data, data quality tests, PII controls, and cost monitoring, before building them. Use when adding or changing a dbt model, warehouse table, scheduled transformation, or ingestion job. Not for transactional schema design (use the database-design skill) or event-sourced stores (use the event-sourcing-architecture skill).
Also in 3 projects that use this
thejordanleopoldSkillthird-party-integration
Use when integrating with external APIs, payment processors (Stripe), webhooks, or third-party services. Use when implementing API clients with authentication and rate limiting, handling webhooks with signature verification and idempotency, writing contract tests for external services, or isolating third-party dependencies behind adapters. Triggers: \"Stripe\", \"payment integration\", \"webhook\", \"third-party API\", \"external service\", \"API client\", \"integrate with\", \"signature verification\", \"idempotency key\".
Also in 3 projects that use this
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- affaan-m/ECC★ 246ksame name
- databasus/databasus★ 9.3ksame name
- RostislavDugin/postgresus★ 9.3ksame name
- authgear/authgear-server★ 2.1ksame name
- xu-xiang/everything-claude-code-zh★ 1.9ksame name
- Aaronontheweb/dotnet-skills★ 1.2ksame name
- epam/ai-dial-chat★ 501same name
- loulanyue/awesome-claude-notes★ 272same name
- KbWen/agentic-os★ 229same name
- DevelopersGlobal/ai-agent-skills★ 216same name
181 more not listed
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 repository24 other files it gives its agents.
- brainstormingSkill
- councilSkill
- dispatching-parallel-agentsSkill
- document-toolkitSkill
- executing-plansSkill
- gui-input-automationSkill
- humanizeSkill
- hyprland-controlSkill
- incremental-implementationSkill
- issue-to-prSkill
- litreviewSkill
- mcp-builderSkill
- rust-reviewSkill
- screen-captureSkill
- session-handoffSkill
- shadcn-auditSkill
- spec-to-issuesSkill
- subagent-driven-developmentSkill
- teachSkill
- unslopSkill
- using-git-worktreesSkill
- visual-computer-use-loopSkill
- writing-flowSkill
- writing-plansSkill
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 165 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 14
Before code, specify for each operation: inputs (types, required vs optional, defaults, validation), outputs (shape, success), errors (what …
- Distinctive: line 54
Treat the response shape as a promise — clients depend on fields you think are internal.
“Common” is measured: kept by at least 6 in 10 of the 165 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
API Design
The contract is the expensive part — implementations change cheaply, public surfaces don't. Design the interface first, write it down, then build to it.
Design the contract first
Before code, specify for each operation: inputs (types, required vs optional, defaults, validation), outputs (shape, success), errors (what can fail and how it's reported), and side effects. Make it explicit — types, a schema, an OpenAPI snippet, or a typed signature — so callers can build against it before the implementation exists (contract-first lets front/back or client/server proceed in parallel).
Naming & consistency
- One vocabulary across the whole surface. Same concept → same word everywhere.
- Action-oriented and predictable. REST: nouns + HTTP verbs
(
GET /users/{id},POST /users). MCP tools: prefixed verbs (github_create_issue). Library: verbs that match the language's conventions. - Symmetry: if there's a
create, theget/list/update/deleteshould look like siblings, not strangers.
Error shapes
- Consistent, machine-readable: a stable code + a human message + (where useful) which field and how to fix it. Don't leak stack traces.
- HTTP: correct status codes (4xx caller's fault, 5xx yours) + a structured body.
- MCP/library: typed errors that tell the caller how to recover.
- Decide and document what happens on partial failure.
Shape for real use
- Pagination/limits on anything list-like — never let one call return unbounded data.
- Idempotency for writes that may be retried (idempotency keys, or
PUTsemantics). - Least surface that works — fewer, composable operations beat dozens of one-off endpoints. You can add later; you can't quietly remove.
- Sensible defaults so the common call is short; options for the rest.
Versioning & compatibility
- Additive changes (new optional field, new endpoint) are safe. Removing or renaming a field, tightening validation, or changing a type is breaking.
- Version when you must break (
/v2, or a version field). Deprecate with a migration path and a timeline, don't yank. - Treat the response shape as a promise — clients depend on fields you think are internal.
Review checklist
- Contract written down before implementation
- Naming consistent and predictable across the surface
- Errors structured, coded, recoverable
- Lists paginated/bounded; writes idempotent where retried
- Defaults make the common case easy
- Changes classified additive vs breaking; breaking → versioned + migration
- Documented with at least one example request/response per operation
For MCP tool surfaces specifically, pair with the mcp-builder skill.
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.

