agent-orchestration-improve-agent
tessl i github:sickn33/antigravity-awesome-skills --skill agent-orchestration-improve-agentSystematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Validation
81%| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
Total | 13 / 16 Passed | |
Implementation
55%This skill provides a comprehensive framework for agent optimization with excellent workflow structure and clear phases, but suffers from verbosity and lack of progressive disclosure. The content explains many concepts Claude already understands and presents everything inline rather than using appropriate file references. Actionability is moderate—guidance is structured but lacks truly executable examples.
Suggestions
Split detailed content (evaluation metrics, test categories, rollback procedures) into separate reference files and link from the main skill with clear navigation
Replace pseudocode tool references like 'Use: context-manager' with actual executable commands or clarify these are conceptual placeholders
Remove explanatory content about well-known concepts (A/B testing basics, semantic versioning) and assume Claude's competence
Add concrete code examples for at least one phase, such as a Python script for metrics collection or a real prompt template
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains useful information but is verbose in places, explaining concepts Claude likely knows (e.g., what A/B testing is, basic versioning semantics). The extensive lists and explanatory text could be significantly condensed while preserving actionability. | 2 / 3 |
Actionability | Provides structured guidance with some concrete elements like metric templates and rollback triggers, but lacks executable code. The 'Use: context-manager' and 'Use: prompt-engineer' commands are pseudocode-like references without actual implementation details or real tool invocations. | 2 / 3 |
Workflow Clarity | Clear four-phase workflow with explicit sequencing, validation checkpoints (A/B testing, staged rollout), and feedback loops (rollback procedures with specific triggers). The progression from analysis to deployment is well-structured with clear decision points. | 3 / 3 |
Progressive Disclosure | Monolithic wall of text with no references to external files. All content is inline despite being over 200 lines. Detailed sections like evaluation metrics, test categories, and constitutional principles could be split into separate reference documents. | 1 / 3 |
Total | 8 / 12 Passed |
Activation
33%The description identifies a clear domain (agent improvement) but relies on abstract terminology rather than concrete actions. The complete absence of a 'Use when...' clause significantly weakens its utility for skill selection, and the trigger terms used are more technical than what users would naturally say when seeking help with their agents.
Suggestions
Add an explicit 'Use when...' clause with natural trigger terms like 'agent not working', 'improve my agent', 'agent performance issues', 'fix agent behavior', or 'optimize agent responses'.
Replace abstract actions with concrete specifics: instead of 'performance analysis', specify 'analyze agent error patterns, review conversation logs, identify failure modes'.
Include file type or artifact triggers if applicable, such as 'agent configuration files', 'system prompts', or specific agent frameworks the skill supports.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (agent improvement) and some actions (performance analysis, prompt engineering, continuous iteration), but these are somewhat abstract rather than concrete specific actions like 'analyze error logs' or 'rewrite system prompts'. | 2 / 3 |
Completeness | Describes what the skill does but completely lacks a 'Use when...' clause or any explicit trigger guidance. Per rubric guidelines, missing explicit trigger guidance caps completeness at 2, and this is weaker than that threshold. | 1 / 3 |
Trigger Term Quality | Includes some relevant terms like 'agents', 'prompt engineering', and 'performance analysis', but missing common variations users might say like 'fix my agent', 'agent not working', 'improve prompts', 'debug agent', or 'optimize agent'. | 2 / 3 |
Distinctiveness Conflict Risk | Somewhat specific to agent improvement, but 'prompt engineering' could overlap with general prompt writing skills, and 'performance analysis' is generic enough to conflict with debugging or analytics skills. | 2 / 3 |
Total | 7 / 12 Passed |
Reviewed
Table of Contents
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