Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Databases & data
2,461 results · page 35 of 83
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knowledge-bootstrapSkillDatabases & data
Initialize session context, resolve the active dataset and context source, load resident instructions, and inventory the context available for question-specific selection. Run at the start of every session and again after /connect-data or /switch-dataset. Handles missing files gracefully, so running
Ready to connect★ 298
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lingxi-financialsearch-skillSkillDatabases & data
A Guotai Haitong financial data query skill that uses natural language to query A-share real-time quotes, company basic information, F10 financial data, stock technical indicators, and other financial data. Follows Shanghai and Shenzhen stock exchange market data redistribution rules, providing only
Ready to connect★ 298
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marketing-skillsSkillDatabases & data
TL;DR: 23 marketing playbooks (CRO, SEO, copy, analytics, experiments, pricing, launches, ads, social). Use to get checklists + copy/paste deliverables fast.
Ready to connect★ 298
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model-cardSkillDatabases & data
Generate the documentation an engineer-built medical-imaging model must carry — a Model Card (Mitchell et al. 2019), a Datasheet for its dataset (Gebru et al. 2021), and a METRIC-informed data-quality pass — filled from user-supplied facts, then verify every required section is present and non-empty
Ready to connect★ 297
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profile-imagingSkillDatabases & data
Profile a medical-imaging dataset before any modelling decision is made — the acquisition grid, voxel spacing and orientation spread, the intensity domain, which label values are actually present, how much of the volume the target occupies, and how large the target is in millilitres — then gate that
Ready to connect★ 297
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reliabilitySkillDatabases & data
Run one analytics task through several fresh trials to measure what repeats and what varies. Use for reliability, repeatability, variance, or repeated-run requests. This measures stability, not correctness.
Ready to connect★ 298
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replicate-studySkillDatabases & data
Replicate an existing cohort study's methodology on a different database. Extracts study design from a source paper, maps variables to the target DB via harmonization table, generates analysis code, and produces a replication difference report.
Ready to connect★ 297
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setup-dev-contextSkillDatabases & data
Configure AI Analyst to understand your development environment and codebase structure. Use this skill whenever developers need to integrate AI Analyst into their workflow, or when questions arise about database configuration, SQL conventions, schema naming patterns, dbt integration, warehouse conne
Ready to connect★ 298
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setup-notionSkillDatabases & data
Guided Notion connection setup wizard. Verifies the Notion connector is enabled, walks the user through enabling and authorizing it, and checks for an Analysis Gallery database. Use when the user says "/setup-notion", "connect to notion", "set up notion", "I want to export to Notion", or when a Noti
Ready to connect★ 298
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setup-snowflakeSkillDatabases & data
First-time Snowflake setup wizard for the NATIVE ConnectionManager path (the connection the analyst actually queries through, with auto-logged provenance). Prompts for every connection field, writes credentials to .env, registers the dataset, and VERIFIES the session is live on the warehouse before
Ready to connect★ 298
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switch-datasetSkillDatabases & data
Change the active dataset to switch between different data sources for analysis. Use this skill whenever the user wants to analyze a different dataset, switch to another database, change data sources, work with different tables, or explicitly invokes /switch-dataset. This skill handles the full swit
Ready to connect★ 298
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traceSkillDatabases & data
Show the provenance trace — every reported number linked to the SQL that produced it, with a confidence badge. Use after an analysis when someone asks "where did that number come from?"
Ready to connect★ 298
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Update ScaffoldSkillDatabases & data
Check for and apply myPKA scaffold framework updates safely. Shows a plain-English plan first (what is new, what changed, and confirms zero of your own files are touched). Dry-run by default; applies only on explicit confirmation. Never touches your PKM, journal, Expansions, secrets, or databases.
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version-datasetSkillDatabases & data
Dataset version control for research reproducibility. Builds a deterministic content-hash manifest of a dataset (file SHA-256 + tabular schema + per-column value hashes), verifies a later copy against it to detect drift (schema change, row-count change, value changes), and diffs two manifests. Use t
Ready to connect★ 297
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visualization-patternsSkillDatabases & data
Apply whenever you generate any chart, graph, or data visualization — from SQL results, in the chart-maker agent, in decks, or on "make a chart / visualize / plot / dashboard" requests. Enforces Storytelling With Data: gray first, one focus color, action titles, direct labels, no pies, using the hel
Ready to connect★ 298
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agent-swarm-deployerSkillDatabases & data
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking,
Ready to connect★ 291
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analyze-datagen-campaign-summarySkillDatabases & data
Build a clean per-dataset summary table/CSV for a datagen (trajectory-generation) campaign — one row per task source with Status (COMPLETED / FAILED / RUNNING / NOT STARTED), N Trials Completed, Mean Turns/Trace, Mean Tok/Trace, Mean Reward, and the HF trace-repo link. Use when asked to "summarize t
Ready to connect★ 291
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analyze-dataset-token-lengthSkillDatabases & data
Analyze the token length of an OT-Agent conversation-format (ShareGPT-style) dataset — the per-trace distribution (median/p90/max) and/or counts under a token threshold + a metadata predicate (e.g. "task_complete AND < 32768 tokens"). Use when asked how long traces are, how many fit a context window
Ready to connect★ 291
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analyze-id-eval-rankingSkillDatabases & data
Given a list of models (HF name stubs) that have valid agentic ID eval scores in Supabase, build a ranking table: raw per-benchmark accuracy on the 3 ID benchmarks (SWE-Bench-100, OT-TBLite=dev_set_v2, Terminal-Bench-2.0=tb2), HF links to each eval's trace dataset, and a NORMALIZED column = average
Ready to connect★ 291
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crud-otagent-supabaseSkillDatabases & data
Read, aggregate, and (carefully) write OT-Agent eval/model data in the Supabase registry. Use when asked to look up a model's ID/OOD benchmark scores, build/refresh an ablation or paper table from eval results, find unevaluated models, register a model/eval, or reconcile duplicate rows. Covers the s
Ready to connect★ 291
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crud-purge-stale-eval-placeholdersSkillDatabases & data
Safely purge stale, never-populated `sandbox_jobs` placeholder rows (eval launches that died/stalled before scoring) from the OT-Agent Supabase registry. Removes ONLY dead `Pending`/`Started` rows WE OWN that are >36h old with null `metrics`/`stats`/`ended_at`, via the mandatory cross-user FK-safety
Ready to connect★ 291
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data-pipeline-builderSkillDatabases & data
Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.
Ready to connect★ 291
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database-migratorSkillDatabases & data
Migrates databases between providers (Postgres, MySQL, Supabase, PlanetScale, MongoDB). Reads source schema, generates migration scripts, handles data type mapping, foreign keys, indexes, triggers, stored procedures. Validates migration with row counts and checksums. Generates migration-plan.md with
Ready to connect★ 291
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datagen-create-task-datasetSkillDatabases & data
Create a FRESH, snapshot-safe Harbor task dataset from an arbitrary input — a raw non-Harbor HF dataset (e.g. allenai/TMax-15K), a generator codebase (e.g. a GitHub repo like FrontierSmith), or just natural-language instructions with no seed data. The pipeline is a sequence of IDEMPOTENT stages — tr
Ready to connect★ 291
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datagen-job-cleanupSkillDatabases & data
Post-run cleanup for a datagen (trace-generation) job on Iris/CoreWeave or an HPC cluster (Jupiter/Leonardo/Perlmutter): get the generated traces onto HF (penfever org) and free temporary disk. There is NO model checkpoint — the artifact is the trace dataset. Covers the TIMEOUT-strands-traces gotcha
Ready to connect★ 291
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datagen-reduce-dataset-snapshotsSkillDatabases & data
Reduce the Daytona snapshot (unique-environment) count of a Harbor task dataset below the cap by editing its patcher's environment-build logic, without breaking task quality. Use when a dataset is flagged "SnapshotCapExceeded" / "N unique environments" with N over the threshold (target < 10), e.g. s
Ready to connect★ 291
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datagen-standard-launchSkillDatabases & data
Launch NON-AGENTIC (standard) data generation — plain vLLM/API completion generation with NO Harbor agent loop or Daytona sandboxes. Two paths: (1) Curator sharded datagen — the multi-node data-parallel run_curator_datagen_sharded.sbatch (one vLLM server per node, disjoint dataset slices, auto-resum
Ready to connect★ 291
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executive-dashboard-generatorSkillDatabases & data
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
Ready to connect★ 291
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icp-deep-scannerSkillDatabases & data
Deep-scan any tools you connect (CRM, email, support, reviews, analytics, billing, database) to produce a data-grounded Ideal Customer Profile and a reusable persona library. Read-only by default. Use when you need to define or refresh your ICP, build buyer personas from real data instead of guesses
Ready to connect★ 291
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rl-standard-launch-leonardoSkillDatabases & data
Launch, relaunch, or sweep STANDARD (non-agentic) SkyRL RL on CINECA Leonardo — GRPO on math/reasoning datasets (gsm8k, MATH/aime) and on-policy distillation (OPD, teacher→student) — via raw `sbatch` of the `hpc/skyrl_standard/leonardo/*` run scripts inside the writable apptainer SANDBOX + uv `marin
Ready to connect★ 291
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.