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generate-path-instructions

Generates path-specific instruction files (.github/instructions/*.md) with JIT loading via applyTo glob patterns. Performs LLM-driven repository analysis to discover file patterns and extract scope-specific rules. Use when the user requests scoped, framework-specific, or directory-specific rules for testing, components, docs, config files, or language-specific files to prevent context pollution. Works for code, documentation, configuration, and data files.

69

Quality

84%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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 body is a well-structured JIT workflow: a sequenced 7-step process with explicit validation and iteration, concrete commands, and bulk detail offloaded to real one-level-deep reference/script bundles. Minor conciseness trimming and inlining key template specifics would push it higher.

DimensionReasoningScore

Conciseness

Efficient and mostly lean with checklists, tables, and concrete commands rather than re-explaining known concepts; minor padding in the 'Key advantages' marketing bullets and repeated Output lines could be trimmed.

4 / 5

Actionability

Provides concrete, executable commands (cat references/*, python3 scripts/test_glob_pattern.py --pattern ..., validation scripts) and a final checklist; the populated template specifics live in the referenced files rather than inline, leaving minor gaps.

4 / 5

Workflow Clarity

A clear 7-step sequence with an explicit Step 6 validation checkpoint (YAML validation, glob testing, rule-specificity checks), a final checklist, and a Step 7 feedback/refinement loop for error recovery.

5 / 5

Progressive Disclosure

Clear overview with well-signaled one-level-deep references (cat references/...) and a Resources section listing each reference/script with its purpose; all referenced bundle files (scope_analysis_checklist, pattern_construction, rule_discovery_checklist, template_examples, context_economics, test_glob_pattern.py) exist.

5 / 5

Total

18

/

20

Passed

Description

83%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 strong: it states concrete capabilities and provides explicit 'Use when ...' triggers covering testing, components, docs, config, and language-specific files. The path-specific/JIT-glob niche is clearly distinguished from global instruction generation.

DimensionReasoningScore

Specificity

Lists several concrete actions ('Generates path-specific instruction files', 'Performs LLM-driven repository analysis to discover file patterns and extract scope-specific rules') with only minor coverage gaps (e.g., glob-pattern construction is implied rather than explicitly stated).

4 / 5

Completeness

Explicitly answers both what ('Generates path-specific instruction files ... with JIT loading via applyTo glob patterns') and when ('Use when the user requests scoped, framework-specific, or directory-specific rules ...'), with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural-term coverage including 'scoped, framework-specific, or directory-specific rules for testing, components, docs, config files, or language-specific files', with a few common phrasings absent.

4 / 5

Distinctiveness Conflict Risk

Mostly distinct niche (path-specific JIT instruction files via applyTo globs), with only minor overlap risk against the closely related generate-repo-instructions skill.

4 / 5

Total

17

/

20

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
canonical/copilot-collections
Reviewed

Table of Contents

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