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extraction-pipeline-patterns

Change or diagnose Xberg's core extraction orchestration, cache semantics, extractor fallback, post-processing, concurrency defaults, or format-wide quality invariants. Load for pipeline work, not a single parser's syntax.

64

Quality

76%

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tessl review fix ./.ai-rulez/skills/extraction-pipeline-patterns/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

82%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 an exceptionally lean, well-structured architectural overview that assumes competence and points to sibling skills for detail. It scores highly on conciseness and actionability; the only gaps are the lack of copy-paste code examples, explicit feedback-loop workflows, and some inlined reference content that overlaps with delegated skills.

DimensionReasoningScore

Conciseness

The body is dense and lean, assuming Claude's competence throughout — no basic concept explanations, with every line carrying concrete paths, function names, or invariants ('never path-based', 'it is not a build fingerprint', 'Treat streaming as an open gap'). Each token earns its place, matching the lean/efficient anchor.

5 / 5

Actionability

Provides concrete, executable guidance via specific identifiers (`run_pipeline(doc, config)`, `detect_mime_type_from_bytes`, `EXT_TO_MIME`, `resolve_thread_budget`), config knobs (`config.force_ocr`), and a verify command. Not a 5 because there are no copy-paste-ready code blocks covering common cases, only one runnable command.

4 / 5

Workflow Clarity

The 'Flow' section gives a clear 4-step sequence (Detect → Route → Extract → Post-process), reinforced by a 'Critical Rules' checklist and a 'Verification' section. Not a 5 because explicit validate→fix→retry feedback loops are not laid out as a task workflow for the reader.

4 / 5

Progressive Disclosure

Well-organized into clearly signaled sections, with 'Related Skills' providing one-level-deep pointers (plugin-architecture-patterns, feature-flag-policy, etc.) and no bundle files present to mis-reference. Not a 5 because sizable inlined content (the full Features table and Extractor-modules listing) could partly live in the referenced sibling skills.

4 / 5

Total

17

/

20

Passed

Description

71%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 specific, well-scoped, and clearly distinct from sibling format-specific skills, with both a 'what' and a 'when' clause. Its main weakness is trigger-term quality: the phrasing is engineer-oriented jargon rather than natural user language, and the action verbs are broad.

Suggestions

Add a user-facing 'Use when...' clause with natural phrases (e.g., 'Use when the user asks about extraction caching, fallback behavior, or pipeline-wide format quality') to lift trigger-term quality and completeness.

Replace the generic verbs 'change or diagnose' with more specific actions (e.g., 'modify cache keys, reroute extractor fallback, adjust concurrency budget, enforce quality invariants') for stronger specificity.

DimensionReasoningScore

Specificity

Names the domain and lists several concrete subsystems ('core extraction orchestration, cache semantics, extractor fallback, post-processing, concurrency defaults, ... quality invariants'), though the verbs 'change or diagnose' are somewhat generic. Not a 5 because the actions themselves are two broad verbs rather than many distinct concrete operations.

4 / 5

Completeness

Clearly answers 'what' (change/diagnose six named subsystems) and 'when' ('Load for pipeline work, not a single parser's syntax'), with the negative clause adding specificity. Not a 5 because the 'when' is directive rather than framed as concrete user trigger phrases ('Use when the user mentions...').

4 / 5

Trigger Term Quality

Relevant terms like 'pipeline work', 'extraction', and 'post-processing' appear, but most language ('cache semantics', 'extractor fallback', 'concurrency defaults') is technical jargon rather than natural phrases a user would say. Missing common variations and synonyms, so not a 4; better than a 2 because some applicable keywords exist.

3 / 5

Distinctiveness Conflict Risk

Occupies a clear, narrow niche (Xberg core extraction pipeline) and explicitly disambiguates from sibling skills via 'not a single parser's syntax', minimizing conflict risk with format-specific skills.

5 / 5

Total

16

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

14

/

16

Passed

Repository
xberg-io/xberg
Reviewed

Table of Contents

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