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antigravity-skill-orchestrator

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

26

Quality

17%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/antigravity-skill-orchestrator/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

0%

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

This description is extremely vague and abstract, reading more like an internal architecture note than a skill description Claude could use for selection. It lacks concrete actions, natural trigger terms, explicit 'when to use' guidance, and any distinguishing specificity. The buzzword-heavy language ('meta-skill', 'dynamically selects', 'skill combinations') provides no actionable information for skill selection.

Suggestions

Replace abstract language with concrete actions — specify exactly what this skill does (e.g., 'Routes user requests to the correct skill based on task type' or 'Orchestrates multi-step workflows combining file processing and analysis').

Add an explicit 'Use when...' clause with natural trigger scenarios, such as 'Use when a task requires coordinating multiple tools or when the user's request spans multiple domains.'

Narrow the scope to reduce conflict risk — if this is meant to be an orchestration layer, clearly define what distinguishes it from simply letting Claude pick skills normally, and specify the exact conditions under which it should activate.

DimensionReasoningScore

Specificity

The description uses vague, abstract language like 'understands task requirements', 'dynamically selects appropriate skills', and 'prevents skill overuse'. No concrete actions are listed — these are meta-level abstractions without specifics about what the skill actually does.

1 / 3

Completeness

The 'what' is vaguely described with abstract concepts, and there is no 'when' clause or explicit trigger guidance at all. It fails to answer either question clearly.

1 / 3

Trigger Term Quality

The description contains no natural keywords a user would say. Terms like 'meta-skill', 'dynamically selects', 'skill combinations', and 'agent-memory-mcp' are internal jargon, not user-facing trigger terms. No user would naturally request this skill.

1 / 3

Distinctiveness Conflict Risk

As a 'meta-skill' that 'selects appropriate skills', it is inherently generic and would overlap with virtually any other skill. Its scope is so broad and undefined that it could conflict with everything or nothing meaningfully.

1 / 3

Total

4

/

12

Passed

Implementation

35%

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

This skill is a meta-orchestration guide that suffers from significant verbosity and redundancy — the overview, core concepts, and step-by-step sections substantially overlap. While it provides some concrete examples (memory API calls, catalog URL), the core decision-making workflow remains abstract and lacks validation checkpoints. The guardrail concept is valuable but over-explained for Claude's capabilities.

Suggestions

Cut the Overview and Core Concepts sections entirely; fold the catalog URL and memory integration details directly into the Step-by-Step Guide to eliminate redundancy and reduce token count by ~40%.

Add explicit validation steps: verify catalog fetch succeeded, confirm selected skills exist in the environment, and check memory_write returned successfully before proceeding.

Replace the vague 'query the locally available skills' instruction with a concrete discovery mechanism (e.g., a specific command, file path pattern, or tool call).

Trim the 'When to Use This Skill' section to a single sentence — Claude can infer applicability from the workflow itself.

DimensionReasoningScore

Conciseness

The skill is highly verbose, explaining concepts Claude already understands (what an orchestrator is, what task complexity means, what categories exist). The overview paragraph is pure padding. Sections like 'Core Concepts' largely restate what the step-by-step guide covers, creating redundancy. The 'When to Use This Skill' section explains obvious triggers. Much of this could be cut by 50%+ without losing actionable content.

1 / 3

Actionability

The skill provides some concrete examples (memory_write/memory_search calls with specific parameters), but the core workflow is largely abstract decision-making guidance ('ask yourself if it's complex'). The catalog URL is concrete and useful, but there's no executable code for fetching or parsing it. The skill selection process itself is vague ('query the locally available skills using the current environment's skill list or equivalent discovery mechanism').

2 / 3

Workflow Clarity

Steps are numbered and sequenced clearly (1-4), with triggers noted for each step. However, there are no validation checkpoints — no step to verify that selected skills actually exist, that the catalog fetch succeeded, or that the memory write was successful. For an orchestration skill that coordinates multiple tools, the absence of error handling or verification steps is a notable gap.

2 / 3

Progressive Disclosure

The content is structured with clear sections (Overview, Core Concepts, Step-by-Step, Examples, Best Practices), but it's monolithic — everything is inline in one file with no references to supporting documents. The Core Concepts section contains material that could be separated or condensed. The reference to the external catalog URL is good, but there are no bundle files to support progressive disclosure.

2 / 3

Total

7

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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