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find-skills

Discovers and installs community skills from the public registry. Use when the user mentions a technology, framework, or task that could benefit from specialized skills not yet installed, asks 'how do I do X', 'find a skill for X', or starts work in a new technology area. Proactively suggest when the user's task involves tools or frameworks without existing skills.

64

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./.cursor/skills/find-skills/SKILL.md

The canonical home for this skill is find-skills in caliber-ai-org/ai-setup

SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A compact, actionable skill body with concrete commands and clean sectioning. Its weakness is the missing validation/feedback loop around the batch install step, which caps workflow clarity, plus mild redundancy between the Instructions and Examples sections.

Suggestions

Add a validation checkpoint after the install step (e.g., verify the skills installed successfully and their SKILL.md files are readable before summarizing) to lift workflow clarity above the batch-operation cap of 3.

Trim the first Example, which fully restates the Instruction flow; keep only examples that add new trigger contexts (e.g., Docker, Python ML) to improve conciseness.

Clarify error handling for the `caliber` commands (what to do if the query returns no matches or install fails) to move actionability toward fully executable guidance.

DimensionReasoningScore

Conciseness

The body is lean and avoids explaining concepts Claude already knows, but the Examples section substantially restates the Instruction flow (especially the first example), which is minor padding that could be trimmed; it is above the 'some unnecessary explanation' of score 3 but not the fully lean score 5.

4 / 5

Actionability

Provides concrete, mostly copy-pasteable commands (`caliber skills --query "..."`, `caliber skills --install <slug1>,<slug2>`) with example query strings, but uses placeholders and omits failure handling, leaving minor gaps versus the fully executable score 5.

4 / 5

Workflow Clarity

The seven steps are clearly sequenced, but `--install <slug1>,<slug2>` is a batch operation that modifies the project with no validation or verification step (e.g., confirming install success or that skills loaded), which caps workflow clarity at 3 per the batch-operation rule; it cannot rise to 4 without checkpoints.

3 / 5

Progressive Disclosure

The skill is under ~50 lines with no bundle files and no need for external references, yet is organized into clear sections (Instructions, Examples, When NOT to trigger), satisfying the simple-skill exception for a top score.

5 / 5

Total

16

/

20

Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A well-constructed description that clearly states both capability and trigger conditions with natural user phrasing in third person. Its main limitation is modest action specificity and slightly broad trigger framing that invites minor overlap with other tooling skills.

DimensionReasoningScore

Specificity

Names the domain ('community skills from the public registry') and two concrete actions ('Discovers and installs'), but does not enumerate further capabilities; this matches the 'Names domain and 1-2 concrete actions, but not comprehensive' anchor and falls below the 'several specific actions' of score 4.

3 / 5

Completeness

Explicitly answers 'what' ('Discovers and installs community skills from the public registry') and 'when' via a concrete 'Use when...' clause with multiple trigger phrases, matching the top anchor; it is not score 4 because the 'when' is explicit and specific rather than improvable.

5 / 5

Trigger Term Quality

Includes natural user phrases like "asks 'how do I do X'", "find a skill for X", and "mentions a technology, framework, or task", giving good keyword coverage; it stops short of the comprehensive synonym/extension breadth of score 5.

4 / 5

Distinctiveness Conflict Risk

The registry-discovery niche is mostly distinct with specific triggers, but the broad 'technology, framework, or task' phrasing creates minor overlap risk with general tooling skills, so it sits below the minimal-conflict score 5.

4 / 5

Total

16

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
caliber-ai-org/ai-setup
Reviewed

Table of Contents

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