processing-api-batches
Optimize bulk API requests with batching, throttling, and parallel execution. Use when processing bulk API operations efficiently. Trigger with phrases like "process bulk requests", "batch API calls", or "handle batch operations".
74
70%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/api-development/api-batch-processor/skills/processing-api-batches/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description that clearly communicates its purpose and includes explicit trigger guidance. Its main weakness is that the capability description relies on somewhat abstract technique names (batching, throttling, parallel execution) rather than more concrete actions or outcomes. The trigger terms and completeness are strong, making it easy for Claude to select appropriately.
Suggestions
Add more concrete actions beyond technique names, e.g., 'queue and retry failed requests, manage rate limits, aggregate batch responses' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (bulk API requests) and lists some actions (batching, throttling, parallel execution), but these are more like techniques than concrete actions. It doesn't specify what kinds of APIs, what output is produced, or detailed steps like 'queue requests, retry failures, aggregate responses.' | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize bulk API requests with batching, throttling, and parallel execution) and 'when' (explicit 'Use when' clause for bulk API operations, plus a 'Trigger with phrases' section listing specific phrases). | 3 / 3 |
Trigger Term Quality | Includes natural trigger phrases like 'process bulk requests', 'batch API calls', 'handle batch operations', plus keywords like 'batching', 'throttling', 'parallel execution', and 'bulk API'. These are terms users would naturally use when needing this functionality. | 3 / 3 |
Distinctiveness Conflict Risk | The focus on bulk/batch API operations with specific techniques (batching, throttling, parallel execution) creates a clear niche that is unlikely to conflict with general API skills or other processing skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a solid architectural guide for batch API processing with good coverage of sync/async patterns, partial failure handling, and progress tracking. However, it reads more like a design document than an actionable skill — it lacks executable code examples and relies on referenced files that don't exist in the bundle. The workflow is well-sequenced but missing explicit validation checkpoints for the implementation process.
Suggestions
Add executable code examples for at least the core batch endpoint and concurrency control (e.g., a working Express route with p-limit, or a FastAPI endpoint with asyncio.Semaphore) instead of describing what to implement.
Include the referenced bundle files (implementation.md, errors.md, examples.md) or inline the most critical code patterns if the bundle is not provided.
Add explicit validation checkpoints in the workflow, e.g., 'After step 3, verify the sync batch endpoint returns correct per-item results by running the test suite before proceeding to async processing.'
Trim the Prerequisites section — Claude knows what Bull, Celery, and Redis are; just specify the required dependencies without explaining their purpose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary verbosity. The Prerequisites section explains what queue systems and progress tracking stores are, which Claude already knows. The Overview section restates what the instructions will cover. Some tightening is possible throughout. | 2 / 3 |
Actionability | The instructions provide specific patterns and design decisions (e.g., batch format, concurrency limits, status codes) but lack executable code examples. Steps describe what to implement rather than providing copy-paste ready code snippets. References to implementation.md could contain the code, but no bundle files are provided to verify. | 2 / 3 |
Workflow Clarity | Steps are clearly sequenced from identifying candidates through testing, and the sync/async split at 100 items is a useful decision point. However, there are no explicit validation checkpoints or feedback loops within the workflow — step 8 mentions validation but doesn't describe a verify-fix-retry cycle for the implementation process itself. | 2 / 3 |
Progressive Disclosure | The skill references three external files (implementation.md, errors.md, examples.md) which is good structure, but none of these bundle files actually exist (no bundle provided). The main SKILL.md is fairly long with detailed error tables and examples that could be offloaded. The references are one-level deep and clearly signaled, but their absence undermines the disclosure pattern. | 2 / 3 |
Total | 8 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
3a2d27d
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.