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: AI & models
8,868 results · page 232 of 296
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ConnectWise Manage Product CatalogSkillAI & models
ConnectWise PSA product catalog: catalog items (SKUs), categories, subcategories, manufacturers, and their use on quotes, opportunities, agreements, and tickets. Covers the full catalog item field reference, common MSP workflows (hardware SKU, software license, managed service, agreement add-on), an
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ConnectWise Manage Time EntriesSkillAI & models
ConnectWise PSA time entry management: charge-to types (tickets, projects, charge codes), billable vs non-billable time, work types and work roles, time sheets, and the time entry approval workflow.
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context-checkupSkillAI & models
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
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cost-auditSkillAI & models
Use when AI inference costs are growing unexpectedly, when comparing model choices by cost/quality ratio, or when optimizing token usage across a multi-model pipeline — produces an actionable cost reduction plan
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custom-noiseSkillAI & models
Configure noise models and error rates for LightStim experiments. Use this skill whenever the user asks about noise models, setting physical error rates, choosing between circuit_level / circuit_level_with_idling / phenomenological / code_capacity / XZ_biased noise, biased noise for neutral atom or
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Dispatch PrioritizationSkillAI & models
Priority scoring and assignment for an unassigned PSA ticket queue: the scoring factors (SLA proximity, client tier, ticket age, technician load, skill/category match), how to combine them into an explainable ranked order rather than a black-box formula, and the tool-discovery pattern for finding wh
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Domotz NetworkSkillAI & models
Domotz network observation: the collector's topology graph, its own interfaces, detected IP conflicts, and the two SNMP surfaces — polled variables and custom sensors — with their history endpoints and the tools and error modes for each.
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Domotz Power OutletsSkillAI & models
Domotz PDU and smart-outlet control: listing outlets and their power state, and the one non-GET tool the Domotz server exposes — switching an outlet on, off, or cycling it. Covers the confirm argument, why it is advisory, and the pre-flight checks that belong before a mains interruption.
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EOL/EOS FlaggingSkillAI & models
End-of-life versus end-of-support risk for devices, OS versions, and firmware: combining RMM inventory (make, model, OS version, firmware) with general lifecycle knowledge, the mandatory verify-against-vendor-lifecycle caveat, what qualifies as a finding versus merely "old", and criticality-first pr
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fan-outSkillAI & models
Parallel agent orchestration for OST exploration. Fan-out multiple solution explorations, fan-in results to compare and select winners.
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fresh-eyes-reviewSkillAI & models
Fresh-eyes review of a changeset by a fresh-context agent — catches regressions and correctness issues the authoring context reads past.
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HaloPSA AssetsSkillAI & models
HaloPSA asset/CMDB data model: asset (configuration item) fields, device types and statuses, links to clients, sites, users, tickets, and contracts, plus parent-child asset relationships. Covers the Asset API surface, hardware lifecycle workflows, RMM auto-sync and device matching, and validation er
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handoverSkillAI & models
Use when handing finished work over to code review — writing a PR description or packaging a change for review by a human, an agent, or both.
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httpieSkillAI & models
Use this skill whenever the user wants to make HTTP requests, test APIs, call REST endpoints, debug web services, or interact with any HTTP/HTTPS API using the HTTPie CLI tool (`http` command). Trigger this skill for any request involving: sending GET/POST/PUT/PATCH/DELETE requests, testing API endp
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maintainer-reviewSkillAI & models
Review someone else's pull request as the maintainer deciding whether it merges — every prior comment walked, every claim verified, and nothing posted without your go-ahead.
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mandu-agent-workflowSkillAI & models
Canonical Mandu workflow for safe agent-driven application changes.
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oracle-domain-modellingSkillAI & models
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
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oracle-grill-meSkillAI & models
Grill the user relentlessly about a plan, decision, or idea, maintaining the project's domain model (CONTEXT.md, ADRs) as decisions crystallise. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
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p0a-micro-needs-detectorSkillAI & models
Micro-need five-questions detector. Teams naturally favor "big requirements"; this Skill brings small-looking but potentially deep problems back into view. Based on《AI rebuild product
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p0b-real-needs-validatorSkillAI & models
A five-question validator for judging real needs. In the AI era, the greatest danger is not the absence of needs, but that fake needs so easily masquerade as real ones. Based on the 'AI rebuild product needs' tool card.
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p0c-needs-decomposerSkillAI & models
Four-layer needs decomposition card. Many teams, upon hearing user input, immediately break it down into features. This card forces the team to first separate "what the user said" from "what the user is actually stuck on." Based on "AI rebuild
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p0d-needs-archaeologistSkillAI & models
The five-step requirements archaeology method. Requirements as stated by users are just the tip of the iceberg; real requirements are often buried in historical decisions, organizational structures, and business evolution. This Skill teaches you how to dig up deep requirements.
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p0e-good-question-generatorSkillAI & models
Six-dimension observation table for good questions. In the AI era, a product manager's most important skill is not giving answers but asking good questions. This Skill provides a six-dimension observation framework to help you discover good questions from different angles.
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p0f-agent-boundary-designerSkillAI & models
Agent boundary checklist. The biggest risk with AI products isn't underperformance—it's overreach. This Skill helps you systematically define what your AI should do, what it shouldn't do, and when it must stop and wait for a human.
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p0g-diverse-recommendation-rewriterSkillAI & models
Diverse recommendation rewriting checklist. In the AI era, recommendation systems are no longer about "guessing what you like", but "helping you discover what you didn't know you'd like". This Skill provides a framework for rewriting single recommendations into diverse recommendations.
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p0g-diversity-rewrite-checklistSkillAI & models
A checklist for diverse recommendation rewrites. When teams rewrite their recommendation system, the easiest path is just to add a bit of randomness on top of the original objective function. This Skill helps you avoid 'looking more diverse on the surface while remaining monolithic underneath'.
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p0h-triple-balance-assessorSkillAI & models
Triple balance sheet for AI products. When teams discuss AI product direction, they most often focus only on growth and efficiency. This Skill helps teams look at all three layers at once: business, humanity, and culture. Based on 'AI
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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.
53,585 of the 54,017 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.