document-api-endpoint
Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec. Use when asked to "document an endpoint", "add OpenAPI docs", "add/fix @extend_schema", "type an endpoint response", "fix the response type", "fix type drift", "reuse a response type", "split an overloaded endpoint", "specify the response schema", "add a TypedDict response", "migrate a legacy api-docs path", "fix a parameter type", or "make an endpoint public" / "promote an endpoint" (promotion is one section here).
What this skill does
# Document & Type a Sentry API Endpoint
Add or fix OpenAPI docs for a Sentry endpoint with drf-spectacular. Full reference is at https://develop.sentry.dev/backend/api/public/, the most useful section to you will be https://develop.sentry.dev/backend/api/public/#5-method-decorator. This skill captures the non-obvious lessons on top of it. Most of the work is making the declared schema match what the endpoint actually returns. Before documenting, identify which endpoint class serves the route and what it does; the MCP tool that calls it is usually the fastest way to confirm its behavior. Promoting a PRIVATE/EXPERIMENTAL endpoint to PUBLIC is one application (see below).
## Workflow
1. Class-level `@extend_schema(tags=[...])` — use the closest existing `OPENAPI_TAGS` entry.
2. Method-level `@extend_schema(operation_id=..., parameters=[...], responses={...}, examples=...)`.
3. Reuse `src/sentry/apidocs/parameters.py` and `examples/*.py`; ensure `owner = ApiOwner.<TEAM>` is set.
4. If a legacy `api-docs/paths/**/*.json` covers the path, remove it (see lesson 4).
5. Validate, then verify against the live endpoint (lesson 1).
## Lessons
### 1. Carefully compare what the code does vs declared types
Ideally, hit the live endpoint with a real token and diff the keys and types against your TypedDict. Serializers are sometimes inaccurate. Look out for counts coming back as floats instead of integers, IDs declared `int` emitted as strings, nested types declaring the wrong number of fields. Correct the declared type to match runtime.
```bash
curl -s -H "Authorization: Bearer $TOKEN" "https://us.sentry.io/api/0/<endpoint>" | jq 'keys'
```
### 2. Reuse the canonical response type
Match the codebase's `XxxResponseOptional(TypedDict, total=False)` mixin (main class declares required fields). Nullable-vs-absent: `T | None` = key always present, value may be null; `NotRequired[T]` = key only set under a condition (e.g. an `expand` query param). Reuse the existing canonical type instead of re-declaring a second or third copy in a `*_types.py`. If there's no clean canonical type to reuse (e.g. a payload proxied from another service like vroom/profiling), type it `dict[str, Any]` rather than inventing a new mirror, and confirm the shape from the owning service's repo, not just the serializer.
### 3. Infer the type. Avoid `cast` and `# type: ignore`
When a serializer returns a base type plus extra fields, refactor the producing code so the response type is inferred rather than forced.
### 4. Legacy doc migration is all-or-nothing per path
Delete the `api-docs/paths/**/*.json` file AND its `$ref` in `api-docs/openapi.json`. drf-spectacular's `APPEND_PATHS` does not merge HTTP methods, so once any method on a path uses `@extend_schema`, all *legacy* methods on that path vanish — migrate every method on the path in one commit.
## Promoting to PUBLIC
Do the workflow above, then on the concrete endpoint only (leave siblings PRIVATE):
- Bump `publish_status[<METHOD>]` → `PUBLIC` and set `owner = ApiOwner.<TEAM>`.
- Remove the method from `API_OWNERSHIP_ALLOWLIST_DONT_MODIFY` in the same change as the flip.
- If the endpoint is redundant or being renamed, delete or deprecate the old version in its own change first, then stack the publish on top.
- Note in the PR if scopes widen (`event:read` → `event:{admin,read,write}`) — that's drf-spectacular regenerating from `permission_classes`, documentation-only.
The change reaches the `@sentry/api` SDK / MCP only after `sentry-api-schema` regenerates downstream.
## Validate
```bash
make build-api-docs
pnpm run validate-api-examples
.venv/bin/pytest -q --reuse-db tests/apidocs/endpoints/<area>/test_<name>.py
.venv/bin/prek run -q --files <changed paths>
```
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.