data-throughput-accelerator

Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.

Quality

80%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/data-throughput-accelerator/SKILL.md

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.

A tight, well-structured instruction skill that respects token budget and includes real validation checkpoints for batch data operations. The main gap is that guidance stays directive rather than providing copy-paste executable commands or SQL.

Suggestions

Add one or two executable snippets (e.g., a sample manifest/coherence-check SQL or a CLI invocation for the catch-up benchmark) to move the workflow from directive to copy-paste ready.

Make the accounting feedback loop explicit ('If manifest counts or max timestamps disagree, fix the failed files/partitions and rerun step 7').

Dimension	Reasoning	Score
Conciseness	Lean and efficient throughout; assumes Claude's competence, explains no basic concepts, and every section (distinctions, heuristics, workflow, accounting, guardrails) earns its place.	5 / 5
Actionability	Concrete, specific instructional guidance plus a fully worked accounting-block example, but the workflow and heuristics stay at the directive level without executable CLI/SQL commands.	4 / 5
Workflow Clarity	A clearly sequenced 7-step workflow with explicit validation checkpoints (step 5 coherence gate, step 7 final accounting, correctness-gate example) for this batch operation; only a minor feedback-loop on accounting failure is left implicit.	4 / 5
Progressive Disclosure	Well-organized into clear single-level sections with no nested references and no need for external bundle files, fitting a focused single-purpose skill.	5 / 5
	Total	18 / 20 Passed

Description

73%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-targeted description with an explicit trigger and strong natural keywords for the data-throughput domain. It is held back from a top score by a single implied action rather than a comprehensive list of concrete operations.

Suggestions

Lead with a crisp verb list of concrete actions (e.g., 'Accelerates large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization') so the 'what' is as explicit as the 'when'.

Add 1-2 more natural trigger variants or synonyms users might say (e.g., 'slow pipeline', 'load falling behind') to broaden keyword coverage.

Dimension	Reasoning	Score
Specificity	Names the data-throughput domain and the concrete action ('become much faster while preserving data correctness') but does not enumerate multiple distinct operations like a comprehensive verb list would.	3 / 5
Completeness	Explicit 'Use when' trigger answers 'when' concretely, and the 'what' (accelerate data movement while preserving correctness) is present but could spell out the action verbs more sharply.	4 / 5
Trigger Term Quality	Strong natural keywords ('data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, table synchronization') that users would actually say, though a few common variants are absent.	4 / 5
Distinctiveness Conflict Risk	Clear niche of high-volume data movement with distinct triggers; minimal risk of firing for an unrelated skill.	5 / 5
	Total	16 / 20 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: affaan-m/ECC
Path: skills/data-throughput-accelerator/SKILL.md
Commit: 06c5e11

Reviewed: 3 days ago

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