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trellis-before-dev

Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.

76

Quality

93%

Does it follow best practices?

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

A concise, actionable, well-structured pre-development procedure that gives real commands and named files without padding. Its only gap is workflow clarity: the sequence lacks an explicit validation/verification checkpoint or fallback behavior if a spec is missing.

Suggestions

Add a validation checkpoint after step 1 — e.g., confirm the target package actually appears in the get_context.py output before proceeding to read its specs.

Add a fallback feedback loop in step 4 — if a checklist-referenced guideline file does not exist, note the gap and rely on the shared guides rather than silently proceeding.

Add a closing verification step (step 6) — briefly restate the key standards read before declaring context-loading complete and moving on to write code.

DimensionReasoningScore

Conciseness

Lean and efficient with no concept explanations Claude already knows; every line (commands, named example files, the 'index is NOT the goal' clarification) earns its place.

3 / 3

Actionability

Provides concrete copy-paste commands (get_context.py --mode packages, cat index.md paths) and names specific example guideline files (error-handling.md, conventions.md, mock-strategies.md); the judgment-based steps give concrete criteria rather than vague direction.

3 / 3

Workflow Clarity

The six steps are clearly numbered and sequenced, but there is no explicit validation checkpoint or error-recovery feedback loop (e.g., what to do if a package or spec file is absent), which the top anchor requires.

2 / 3

Progressive Disclosure

Under 50 lines with no bundle files needed; content is well-organized into bolded numbered steps with no nested reference chains, satisfying the simple-skill allowance for a top score.

3 / 3

Total

11

/

12

Passed

Description

100%

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 strong, third-person description that states multiple concrete actions and pairs them with explicit, natural 'Use when' triggers tied to a clear niche. No vagueness or over-claims; it cleanly answers both what the skill does and when to invoke it.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Discovers and injects project-specific coding guidelines', 'Reads spec indexes, pre-development checklists, and shared thinking guides' — matching the anchor for several specific concrete actions rather than just naming a domain.

3 / 3

Completeness

Clearly answers what ('Discovers and injects... Reads spec indexes, pre-development checklists, and shared thinking guides') and when via an explicit 'Use when...' clause, matching the top anchor exactly.

3 / 3

Trigger Term Quality

Trigger phrases like 'starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions' are natural things a user would say when they need this skill, giving good coverage.

3 / 3

Distinctiveness Conflict Risk

Tied to a specific internal niche (.trellis/spec/) with distinct pre-development context-loading triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mindfold-ai/Trellis
Reviewed

Table of Contents

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