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agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

62

Quality

74%

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tessl review fix ./skills/agentic-engineering/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

An exemplary lean, instruction-only skill: every section adds non-obvious directive value and assumes Claude's competence. The only soft spots are a few under-specified steps (how to capture failure signatures, what a capability eval looks like) and a missing regression-recovery path in the eval loop.

DimensionReasoningScore

Conciseness

The body is lean throughout: no padding, no explanation of concepts Claude already knows, and every line is a directive ("Apply the 15-minute unit rule", "Compact after milestone completion, not during active debugging"). Every token earns its place.

5 / 5

Actionability

Concrete, specific guidance throughout — the 15-minute unit rule, a per-tier routing table (Haiku/Sonnet/Opus with task types), and a per-task cost tracking list. Minor gaps: steps like "capture failure signatures" and "define capability eval" give no specifics on how to do them, keeping it below fully executable guidance.

4 / 5

Workflow Clarity

The Eval-First Loop is a clear numbered sequence whose final step ("Re-run evals and compare deltas") is an explicit validation checkpoint. Not a 5 because there is no error-recovery path (what to do when the delta regresses) and the other sections are flat lists rather than sequenced workflows.

4 / 5

Progressive Disclosure

A compact (~58-line) self-contained skill with no need for external references: cleanly sectioned with descriptive headers, no content that belongs in separate files, and no buried or nested references. This matches the well-organized self-contained structure the top anchor and simple-skill guidance describe.

5 / 5

Total

18

/

20

Passed

Description

62%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 well-formed description with an explicit 'Use when' clause and third-person voice, correctly front-loading its distinctive methods. Its weakness is trigger breadth and abstraction: the capabilities are named as approaches rather than concrete actions, and natural trigger synonyms are thin.

Suggestions

Replace abstract method names with concrete actions, e.g., "Define completion criteria before execution, decompose work into agent-sized units, route tasks to Haiku/Sonnet/Opus by complexity, and gate progress with evals."

Add natural trigger phrases users would actually say, such as "Use when delegating implementation to AI agents, running multi-agent workflows, or planning work that agents will execute end to end."

Sharpen the 'when' with concrete scenarios (e.g., 'when kicking off an agent-driven feature build or planning an eval-gated refactor') to distinguish it from generic planning or code-review skills.

DimensionReasoningScore

Specificity

Names the domain and three methodological actions ("eval-first execution, decomposition, and cost-aware model routing"), but these are abstract approaches rather than the concrete, enumerable actions of the top anchors; coverage is not comprehensive.

3 / 5

Completeness

Both parts are present: a clear "what" (operate as an agentic engineer using the three named methods) and an explicit "when" clause. Not a 5 because the trigger is broad and could name concrete scenarios rather than the generic "engineering work".

4 / 5

Trigger Term Quality

"planning or executing engineering work that agents will carry out end to end" contains relevant natural phrases, but common variations users would actually say (e.g., "AI coding", "multi-agent", "delegate to agents", "agent workflow") are missing.

3 / 5

Distinctiveness Conflict Risk

"Eval-first execution" and "cost-aware model routing" carve a distinct agent-orchestration niche, leaving only minor overlap risk with general planning or code-review skills.

4 / 5

Total

14

/

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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