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Found 6,147 Skills
Standalone quality review for Elastic integrations. Classifies files by domain, loads domain-specific skills and review checklists, applies cross-domain consistency rules, CEL version verification, API conformance, and severity calibration. Input-agnostic: works on local packages, PR diffs, or branch comparisons. Use when reviewing integration quality independently of any build or fix workflow.
Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use agentforce-observe), standard CRM SOQL (use platform-soql-query), or Apex implementation (use platform-apex-generate).
Enter a friendly OpenSEO coach mode that explains workflows, recommends next steps, and helps users use agents, web search, scraping, and MCP data effectively.
Extract structured fields, original text locations, missing items, and supportable judgments from papers and supplementary materials. Use when the user asks for "extract this paper", "batch extract paper information", "create paper cards", or requests the rw-paper-extractor workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Determine the stage of a research task and route it to a main workflow. Use when the user asks for "beginner's guide", "start research process", "what should I use for this research task", "help me choose a research skill", or requests the rw-research-router workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Deploy, manage, and automate infrastructure on Northflank — a developer platform for building, deploying, and scaling services, jobs, databases, and release workflows on Kubernetes. Use when managing Northflank projects, services, jobs, addons (databases), secrets, domains, templates (IaC), environments, preview environments, pipelines, release flows, BYOC/BYOK clusters, GPU workloads, AI sandboxes, or interacting with the Northflank API/CLI/JS client. Covers REST API, CLI (`northflank` command), and JavaScript client (`@northflank/js-client`).
Research and discovery workflow for document deliverables — competitive analyses, architecture comparisons, ADR scaffolding, literature reviews, vendor evaluations. No TDD requirement. Phases: gathering → synthesizing → completed. Triggers: 'discover', 'research', 'explore topic', or discover.
Guided authoring of an architectural invariant catalog entry through a 6-step interview (elicit, locate, weight, enforce, number, commit). Drives the invariants_scaffold and invariants_add orchestrate verbs — the agent supplies judgment and natural-language elicitation; the verbs own schema validation, file writing, and event emission. Defaults to mode: audit; mode: check is an advanced opt-in. Triggers: 'add an invariant', 'author an invariant', 'enforce an architectural rule', or invariants. Do NOT use for: editing workflow state, running a review, or hand-writing YAML (the verbs write it — never emit catalog YAML yourself).
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
Run Greptile CLI for pre-push AI branch review. Use when asked for Greptile review, raycast/extensions pre-PR checks, or as part of the default dual pre-push workflow with coderabbit. Max 2 runs per change set.