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agent-orchestration-improve-agent

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

46

Quality

57%

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tessl review fix ./skills/antigravity-agent-orchestration-improve-agent/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

48%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.

The skill has a genuinely well-sequenced four-phase workflow with real validation and rollback checkpoints, but it is held back by generic prompt-engineering padding and operational blocks that reference non-bundled tools. Roughly half the body restates knowledge Claude already has, and nothing is split into reference files.

Suggestions

Cut sections 2.1-2.5 and the staged-rollout/statistics exposition down to the project-specific deltas (which metrics to collect, which thresholds trigger rollback, what the actual harness supports), leaving maybe a third of the current length.

Replace the 'Use: context-manager' / 'Use: parallel-test-runner' pseudo-blocks with the real commands or scripts of the host harness, or remove them entirely since the skill disclaims they are not bundled.

Move the Phase 2 prompt-engineering techniques and the Phase 3 metrics catalog into separate reference files (e.g. references/prompt-techniques.md, references/evaluation-metrics.md) linked from a lean overview.

DimensionReasoningScore

Conciseness

Sections 2.1-2.5 (chain-of-thought, few-shot examples, role definition, constitutional AI), the A/B statistics commentary, and Phase 4's staged rollout largely restate prompt-engineering and deployment knowledge Claude already has, padding the body to ~350 lines.

2 / 5

Actionability

There are concrete artifacts (baseline report template, rollback trigger thresholds, version format), but the operational blocks ('Use: context-manager', 'Use: parallel-test-runner', 'Test set: 100 representative tasks') are pseudo-references to tools the skill itself disclaims as not bundled, leaving no executable mechanism for running the evaluations.

3 / 5

Workflow Clarity

The Phase 1-4 sequence is explicit with validation at each stage (baseline metrics, A/B testing, staged rollout percentages, rollback triggers with numeric thresholds and a fix-and-retest loop); it falls short of a 5 because the evaluation and monitoring steps depend on unbundled tools and lack a concrete mechanism.

4 / 5

Progressive Disclosure

The single ~350-line file has good internal headers, but there are no bundle files at all and Phase 2/3 reference material (prompt-engineering techniques, evaluation metrics, rollout procedures) is inlined where it belongs in separate reference files.

3 / 5

Total

12

/

20

Passed

Description

50%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.

The description is clear and grammatically clean but sits at the midpoint across all dimensions: it states a moderately concrete 'what' with no 'when' trigger clause and only partial keyword coverage. Adding an explicit 'Use when...' sentence with natural user phrases would lift completeness and trigger quality substantially.

Suggestions

Append a trigger clause, e.g. 'Use when the user wants to improve an existing agent's performance, debug agent failures, run agent evals/benchmarks, or A/B test prompt changes.'

Replace abstract gerunds with concrete operations: 'analyze task traces and failure modes, rewrite system prompts, run evaluation suites, stage and roll back prompt changes'.

Add natural synonyms users would actually say ('agent evals', 'benchmark an agent', 'agent is failing/hallucinating', 'improve prompts') to widen trigger coverage.

DimensionReasoningScore

Specificity

The description names the domain (agent improvement) and three actions ('performance analysis, prompt engineering, and continuous iteration'), but these are abstract gerund phrases rather than concrete operations, matching the anchor for naming a domain with 1-2 actions without comprehensive coverage.

3 / 5

Completeness

The 'what' is stated (improve existing agents via analysis, prompt engineering, iteration), but there is no 'Use when...' clause or any trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Relevant keywords like 'agents', 'performance', and 'prompt engineering' are present, but common natural variations users would say — 'evals', 'benchmarks', 'A/B testing', 'agent failures', 'traces' — are missing.

3 / 5

Distinctiveness Conflict Risk

'Improvement of existing agents' distinguishes it from agent-creation skills, but the phrase could still overlap with generic prompt-engineering or evaluation skills, matching the 'somewhat specific but could overlap' anchor.

3 / 5

Total

12

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

boisenoise/skills-collections

Path

skills/antigravity-agent-orchestration-improve-agent/SKILL.md

Reviewed

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