sql-programming
General SQL programming, formatting, debugging, and query-shaping tips. Use for SQL work that is not specifically about PostGIS spatial data.
What this skill does
## Documentation
- Make sure every create statement or CTE has a descriptive comment `--` in front of it.
- Write enough comments so you can deduce what was a requirement in the future and not walk in circles.
- Every feature needs to have comprehensive up-to-date documentation near it.
## Style
- SQL is lowercase unless instructed otherwise.
- Values in databases and layers should be absolute as much as possible: store "birthday" or "construction date" instead of "age".
- Do not mix tabs and spaces in code.
- Add empty lines between logical blocks.
- Format the code nicely and consistently.
## Indexing
- Consider BRIN indexes for very large naturally ordered tables that will be used for ad-hoc range queries.
- If you have a cache table that has a primary key, it can make sense to add frequently read values into `including` on the same index for faster lookup.
## Debugging
- Make sure error messages towards developers are better than just "500 Internal Server Error".
- Don't stub stuff out with insane fallbacks like `lat = 0` and `lon = 0`; instead make the rest of the code work around data absence and inform the user.
- SQL files should be idempotent: drop table if exists + create table as; add comments to make queries faster to grasp.
- Create both "up" and "down/rollback" migrations when the project expects reversible migrations.
- Don't run one SQL file from another SQL file - this quickly becomes a mess with relative file paths.
## SQL Gotchas
- `sum(case when A then 1 else 0 end)` is just `count() filter (where A)`.
- `row_number() ... = 1` can likely be redone as `order by + limit 1` (possibly with `distinct on` or `lateral`).
- `exists(select 1 from ...)` is just `exists(select from ...)`.
- `tags ->> 'key' = 'value'` is just `tags @> '{"key": "value"}'` - works faster with indexes.
- You can't create an ordered table and then rely on it to be ordered on scan without `order by`.
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.