django-celery

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

Quality

85%

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Securityby

Passed

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Quality

Content

78%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 highly actionable, lean patterns catalog with excellent copy-paste code and clear sequencing, weakened only by an all-in-one ~450-line layout that forgoes progressive disclosure into reference files. Splitting the larger reference sections out would notably improve navigability.

Suggestions

Move the larger reference-oriented sections (e.g. full testing strategies, canvas/chord patterns, monitoring/Flower setup, complete settings reference) into dedicated files under references/ and link to them from SKILL.md, keeping the main file as a tight overview.

Add an explicit validate→fix→retry feedback loop note for batch/canvas operations so the workflow_clarity checkpoint guidance is fully satisfied.

De-duplicate the idempotent pattern between the 'Idempotent Task Pattern' section and the 'Anti-Patterns' GOOD example to tighten conciseness.

Dimension	Reasoning	Score
Conciseness	The body is dense and code-forward with no re-teaching of concepts Claude already knows; inline comments earn their place, though the idempotent pattern is repeated in the Anti-Patterns section and a few setups could be trimmed.	4 / 5
Actionability	It provides extensive copy-paste-ready code and commands — celery.py entrypoint, settings, task patterns, calling/beat/canvas examples, error handling, tests, and monitoring commands — covering the common cases fully.	5 / 5
Workflow Clarity	Project setup is clearly sequenced and the Production Checklist plus idempotency guards and dead-letter handling provide validation checkpoints, but there is no single explicit validate→fix→retry feedback loop tying risky batch operations together.	4 / 5
Progressive Disclosure	The ~450-line body is well-sectioned but entirely inline with no bundle files; substantial sections (testing deep-dive, canvas, monitoring, full settings reference) could plausibly live in separate reference files but are all loaded at once.	3 / 5
	Total	16 / 20 Passed

Description

92%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 strong, well-scoped description that concretely lists capabilities and gives explicit activation triggers for a clearly delineated niche. The only gap is a handful of natural synonym triggers that users might phrase differently.

Suggestions

Add a few natural synonyms to the 'Use when' clause — e.g. 'task queue', 'periodic/cron tasks', or 'worker queues' — so the description matches a wider range of phrasings users actually say.

Dimension	Reasoning	Score
Specificity	The description enumerates multiple concrete capability areas — 'configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing' — giving comprehensive coverage of the Django+Celery domain rather than vague abstractions.	5 / 5
Completeness	It explicitly answers both what ('Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing') and when ('Use when adding background jobs, scheduled tasks, or async processing to a Django app') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Natural trigger phrases like 'background jobs', 'scheduled tasks', 'async processing', plus 'Django' and 'Celery', give good keyword coverage, but common synonyms such as 'task queue', 'periodic tasks', 'cron', and 'workers' are absent.	4 / 5
Distinctiveness Conflict Risk	The Django + Celery async-task niche with triggers around background jobs, scheduled tasks, and async processing is clearly distinct from related Django ORM or testing skills, with minimal overlap risk.	5 / 5
	Total	19 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: affaan-m/ECC
Path: skills/django-celery/SKILL.md
Commit: 06c5e11

Reviewed: 3 days ago

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