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by skillselion

load_skill

Load a community-vetted skill into your current context mid-task. Provide your task, stack, and constraints to get the best matching skill and alternatives.

Instructions

Load a community-vetted skill into your context on demand - like installing it mid-task. Reach for this when a task is in a domain a skill likely covers (tests, frontend/UI, an API/DB, infra, a named framework) and a proven recipe would beat improvising - most valuable in territory you are less sure of, or fast-moving stacks where your memory may be stale. You MUST pass context (your task + stack + constraints): it ranks candidates, fits them to your current repo, flags dependency mismatches, and keeps the load deliberate. Returns the best match (real SKILL.md + bundled scripts/refs materialized to a temp folder, used like an installed skill) PLUS the next-best candidates so you can switch. Always verify the loaded skill against your project before trusting it. For broad "current best practices across the field" tasks that span several skills, use synthesize_skills instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoAn exact skill id from search_skillselion, e.g. "skill:owner/repo#slug".
queryNoWhat you need - task/skill keywords (e.g. "playwright e2e tests"). Required unless you pass an exact id.
contextYesREQUIRED. What you are actually doing + your stack + constraints/anti-patterns (e.g. "Next.js marketing page, no new deps, role-based locators"). Ranks candidates, fits them to your repo, and flags dependency mismatches. Be specific - this also keeps the load deliberate, not reflexive.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It describes the return (best match + next-best candidates), materialization to a temp folder, and warns to verify. It also explains the purpose of context. Could mention if any mutations occur, but likely not needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat long but well-structured: first sentence gives purpose, then usage guidelines, then parameter details, then warning. All sentences add value. Could trim slightly but no waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters, no output schema, and no annotations, the description covers the tool's behavior thoroughly: explains what the tool does, how context is used, what is returned, and a verification warning. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds significant meaning beyond schema: context 'ranks candidates, fits them to your repo, flags dependency mismatches'. Also provides example values for parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the purpose: 'Load a community-vetted skill into your context on demand'. It uses a specific verb ('load') and resource ('skill'), and distinguishes from siblings by mentioning 'synthesize_skills' for broad tasks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use ('when a task is in a domain a skill likely covers...') and when not ('For broad... tasks that span several skills, use synthesize_skills instead'). Also specifies the context parameter's role.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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