Skills, prompts, agents, automations, and files from people who use them in real work. Every listing is reviewed before it goes live.
17 listings for “data”
A portable assistant for anyone working in Excel or Google Sheets: describe what you need and your column layout, and it writes the formula for your app and version, explains each part, lists edge cases, and gives a test row to check it.
ALAISkillHub Library
A standard-library Python script that clears outputs and execution counts from .ipynb files, plus a GitHub Actions check that fails pull requests containing notebooks with outputs, so API responses and sample data do not get committed.
ALAISkillHub Library
A blameless incident postmortem template adapted for AI features: records model and prompt versions, user and data impact, agent actions taken, an AI-specific failure classification, layered root cause questions, and eval-focused action items.
ALAISkillHub Library
A Claude Code skill that profiles a slow function, endpoint, script or test with the right profiler for your stack (Node, Python, Go, JVM, browser), identifies the hotspot from real data, and reports before and after numbers from the same benchmark.
ALAISkillHub Library
Turns a loosely named metric ("active users", "churn", "time to resolution") into a precise definition: formula, inclusions, exclusions, time window, edge cases, owner and known pitfalls, ready for a data team to implement.
ALAISkillHub Library
A .cursorrules file that keeps AI-generated code in a Next.js App Router project consistent: server-first components, parallel data fetching, validated Server Actions, Zod at trust boundaries, Tailwind-only styling and safe env handling.
ALAISkillHub Library
A dependency-free Python script that replaces emails, phone numbers, US SSNs, Luhn-valid card numbers, IP addresses, IBANs and bearer tokens with placeholders before text goes to a model or into a dataset. Its limits are stated up front.
ALAISkillHub Library
An actions/labeler v5 configuration and workflow that labels PRs touching prompts, eval sets, training data, or AI assistant config files such as CLAUDE.md, AGENTS.md, .mcp.json and .cursorrules.
ALAISkillHub Library
A Python script that turns a spreadsheet export of prompt and ideal-answer pairs into chat-format JSONL (one messages array per line) for fine-tuning, with column mapping, a shared or per-row system message, dedupe, and atomic output.
ALAISkillHub Library
An AGENTS.md for FastAPI backends managed with uv: exact commands for tests, lint, format and type checks, plus conventions for Pydantic models, dependencies, async database access, Alembic migrations and error handling.
ALAISkillHub Library
A Claude Code skill that reviews new schema migrations (Postgres and MySQL; Rails, Django, Laravel, Prisma, Alembic, Knex and raw SQL) for table locks, rewrites, unsafe renames, missing rollbacks and backfills that should run separately.
ALAISkillHub Library
A fill-in AI usage policy for companies of roughly 5 to 200 people: approved tools table, data classification for what may be pasted where, allowed and prohibited uses, review and disclosure rules, product AI features, and incident reporting.
ALAISkillHub Library
A launch readiness checklist for LLM features covering scope, data and privacy, prompt and model config, evals, injection and tool safety, cost limits, observability, user disclosure, kill switch and post-launch review, with blockers marked.
ALAISkillHub Library
Labeler guidelines for comparing two model responses side by side: a priority order for deciding (safety, correctness, instructions, helpfulness, clarity), label definitions, per-response flags, rationale examples and edge cases.
ALAISkillHub Library
A Python script that checks a chat-format JSONL file line by line for structural errors (roles, ordering, empty content), then warns about duplicates, over-long examples and 'as an AI' boilerplate before you upload it.
ALAISkillHub Library
Writes the narrative for a weekly or monthly metrics report from a table of current and prior values plus team context: what moved, whether it matters, the likely reasons you know about and what to watch.
ALAISkillHub Library
A portable assistant for analysts, PMs and new engineers: paste a SQL query (and optionally the schema) and it explains in plain language what the query returns, in execution order, with a worked example, and flags likely logic bugs such as fan-out joins and NULL handling.
ALAISkillHub Library
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