find-skills

Discover and install agent skills from the open ecosystem. Use when you encounter an unfamiliar domain, framework, or workflow that you lack specialized knowledge about, or when your coordinator suggests searching for skills before starting a task.

Quality

73%

Does it follow best practices?

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Critical

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tessl review fix ./manager/agent/copaw-worker-agent/skills/find-skills/SKILL.md

Quality

Content

72%Weight 40%Scale 1-3

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

The body is highly actionable with strong executable examples and clean single-file organization. The main weaknesses are minor redundancy with the description and a missing post-install verification checkpoint in the workflow.

Suggestions

Add a brief verification step after install (e.g., re-run find or check the installed skill is present) so the workflow has an explicit success checkpoint.

Trim the opening restatement and the "Skills are modular packages..." sentence to reduce overlap with the description and basic context Claude already knows.

Consider folding the "When to Use This Skill" bullet list into the description trigger guidance to avoid duplicating trigger conditions in two places.

Dimension	Reasoning	Score
Conciseness	Mostly actionable and efficient, but repeats the description in the opening line, re-states trigger guidance in "When to Use This Skill", and includes light explanatory padding ("Skills are modular packages that extend agent capabilities...") that Claude does not need.	2 / 3
Actionability	Provides copy-paste-ready executable guidance: a concrete FIND_SKILLS_SCRIPT resolution loop, exact find/install commands, real example queries, and a sample output block.	3 / 3
Workflow Clarity	Steps are clearly sequenced (Step 1 → 2 → 2A → 3 → 4) with a script-not-found guard and a no-results fallback, but there is no validation checkpoint confirming a skill actually installed successfully before presenting it as ready.	2 / 3
Progressive Disclosure	The single bundle resource (agentteams-find-skill.sh) is clearly signaled and resolved one level deep via FIND_SKILLS_SCRIPT, and the body is organized into well-labeled sections that read as an overview with a single reference.	3 / 3
	Total	10 / 12 Passed

Description

75%Weight 40%Scale 1-3

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

The description is well-formed with explicit what-and-when guidance and a clear, distinct niche. It is somewhat thin on action breadth and natural trigger variations, which keeps specificity and trigger quality at the mid level.

Dimension	Reasoning	Score
Specificity	Names the domain ("agent skills") and two concrete actions ("Discover and install"), but stops there rather than listing multiple specific concrete actions like search, browse, or update.	2 / 3
Completeness	Clearly states both what ("Discover and install agent skills from the open ecosystem") and when ("Use when you encounter an unfamiliar domain, framework, or workflow...") with an explicit 'Use when' clause.	3 / 3
Trigger Term Quality	Includes relevant natural terms ("unfamiliar domain, framework, or workflow", "searching for skills") but omits common user phrasings such as "find a skill", "install from market", or "how do I do X".	2 / 3
Distinctiveness Conflict Risk	Occupies a clear niche (skill discovery/install) with distinct triggers unlikely to fire for unrelated skills, written in proper third-person voice.	3 / 3
	Total	10 / 12 Passed

Validation

100%

Warnings & errors only

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: agentscope-ai/AgentTeams
Path: manager/agent/copaw-worker-agent/skills/find-skills/SKILL.md
Commit: 785c2db

Reviewed: 6 days ago

Table of Contents

Discovery Implementation Validation

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