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ai-agents-architect

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.

52

Quality

58%

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tessl review fix ./skills/ai-agents-architect/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%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 well-organized, instruction-only skill whose Patterns and Sharp Edges sections provide genuinely useful design guidance, but it stays at the conceptual level throughout — no executable examples, no sequenced validation loops, and reference-worthy catalogs inlined in an overlong body. Tightening the duplicated framing sections and moving detail to reference files would lift every dimension.

Suggestions

Merge or delete the near-duplicate 'Expertise' and 'Capabilities' sections and the persona opener to remove padding and cut token cost.

Add at least one concrete, executable artifact — e.g., an agent-loop config with max_iterations/timeout/cost-cap values, or a tool-schema example showing purpose, when-to-use, parameter types, and error cases.

Move the Sharp Edges catalog and pattern write-ups into one-level-deep reference files (e.g., references/sharp-edges.md, references/patterns.md) and keep SKILL.md as a lean overview that links to them.

Convert the 'Inputs and worked example' prose into an explicit ordered workflow with validation checkpoints (record success condition → implement → run the listed failure tests → only then proceed).

DimensionReasoningScore

Conciseness

Most sections are tight, actionable lists, but the persona opener ('I build AI systems that can act autonomously...'), the verbatim repeat of the description, and the near-duplicate 'Expertise' and 'Capabilities' sections are unnecessary padding; it is not 4 because the duplication is more than minor trimming, and not 2 because the bulk (Patterns, Sharp Edges) earns its tokens.

3 / 5

Actionability

The guidance is partly concrete — 'Recommended fix' bullet lists and a worked example with specific test cases ('Test an unknown tool name, invalid argument, duplicate refund request') — but nothing is executable: no code, commands, schemas, or config examples; it is not 2 because the Sharp Edges fixes and worked example are specific rather than high-level hints.

3 / 5

Workflow Clarity

Patterns carry 'When to use' guidance and the worked example states expected outcomes, but no multi-step process is sequenced with explicit validation checkpoints — the test expectations sit in prose rather than in an ordered validate/fix/retry loop; this matches the 'steps listed but validation gaps' anchor.

3 / 5

Progressive Disclosure

The single ~330-line file is well-sectioned with clear headers, but the eight-entry Sharp Edges catalog and six pattern write-ups are content that belongs in one-level-deep reference files, and no bundle files exist to offload it; it is not 2 because structure and navigation within the file are genuinely good, and not 4 because the inline reference material is more than a minor organization gap.

3 / 5

Total

12

/

20

Passed

Description

66%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 clear, third-person 'what' statement with good natural keyword coverage and a distinct niche. Its main weakness is the complete absence of 'when to use' trigger guidance, which caps completeness and limits discoverability.

Suggestions

Add an explicit 'Use when...' clause naming concrete trigger situations (e.g., 'Use when building an agent loop, choosing a tool boundary, or wiring up agent memory').

Include common synonyms and variations users actually say — 'LLM agents', 'agent frameworks', 'agentic workflows', 'function calling' — to broaden trigger-term coverage.

Mention concrete deliverables (e.g., 'designs agent execution loops, tool registries, and checkpoint/recovery strategies') to convert capability domains into specific actions.

DimensionReasoningScore

Specificity

Names the domain ('designing and building autonomous AI agents') and several concrete areas ('tool use, memory systems, planning strategies, and multi-agent orchestration'), matching the 'several specific actions with minor gaps' anchor; it falls short of 5 because these are capability domains rather than a comprehensive list of concrete actions.

4 / 5

Completeness

It clearly answers 'what' ('Expert in designing and building autonomous AI agents. Masters tool use...') but contains no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines; it is above 2 because the 'what' is specific rather than vague.

3 / 5

Trigger Term Quality

'autonomous AI agents', 'tool use', and 'multi-agent' are phrases users would naturally say, giving good keyword coverage; it is not 5 because common variations and synonyms like 'LLM agent', 'agent framework', or 'agentic workflows' are missing.

4 / 5

Distinctiveness Conflict Risk

The agent-architecture niche is mostly distinct with clear triggers, with only minor overlap risk against closely related skills such as prompt-engineer, rag-engineer, or mcp-builder; it is not 5 because the domain boundary with those adjacent skills is somewhat porous.

4 / 5

Total

15

/

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
sickn33/agentic-awesome-skills
Reviewed

Table of Contents

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