287 skills
Gives an AI agent durable cross-task memory: store facts, preferences, outcomes, and lessons; recall them before acting; update, forget, and decay old…
Efficient, correct pandas patterns: vectorized ops over loops, groupby aggregations, merge/join semantics with validate, datetime handling, read_csv…
Define the metric before you build the dashboard: unambiguous metric definitions (population, event, window, filters, edge cases), event-naming conventions,…
Add readiness and liveness probes to a Python service: /readyz and /livez endpoint design, dependency checks with timeouts, graceful SIGTERM shutdown, and…
Designing ETL pipelines: extraction with pagination and checkpointing, idempotent transforms, upsert loads, cron vs event scheduling, row-count…
Validate data before trusting it: schema contracts for JSON rows, null/empty handling policy, range and enum checks, referential consistency between…
Fixing broken/messy CSV files: delimiter sniffing, encoding/BOM handling, header normalization, ragged rows, quoted commas and embedded newlines, type…
Keeps secrets secret while an agent works: which store a credential belongs in, transient-use rules for one-time codes and API keys, what must never appear…
Applies proven prompt patterns — few-shot examples, chain-of-thought control (zero/few-shot CoT, self-consistency), machine-parseable output contracts, and…
Receiving webhooks safely: signature verification, retry semantics, idempotency keys, and dead-letter handling for agents building inbound event endpoints.…
Practical jq/yq/csvkit patterns for agents extracting, filtering, and reshaping JSON/YAML/CSV in shell pipelines. Triggers on: parse this JSON, extract from…
Querying GraphQL APIs: selection sets, variables, fragments, cursor pagination, introspection, and error handling for agents fetching data from GraphQL…
Designing and operating feature flags: flag types, rollout strategies, kill switches, and cleanup discipline for agents shipping code changes. Triggers on:…
npm/pip audit workflows, SBOM basics, and fixing vulnerable dependencies for agent-run codebases. Triggers on: audit dependencies, check for vulnerable…
Practical regular expressions for agents: core syntax, the grep/Python/sed dialect differences that actually bite, and tested patterns for timestamps,…
Handle .env files and per-environment configuration: dotenv format rules, loading with python-dotenv or shell, dev/staging/prod config, and secret hygiene.…
Write Dockerfiles, build/run containers, and set up multi-service docker compose stacks. Triggers when containerizing an app, debugging container failures,…
Guides an agent through reviewing a diff or pull request: a concrete check sequence covering correctness, tests, security, error handling, performance,…
Designs GitHub Actions CI workflows (.github/workflows/*.yml): triggers, jobs and steps, matrix builds, dependency caching, secrets, and concurrency groups…
Control LLM cost and latency: prompt caching, context discipline, model routing, batching, and measuring what you spend.