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wrap-up

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.

91

1.72x
Quality

92%

Does it follow best practices?

Impact

83%

1.72x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

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 well-crafted skill description that clearly communicates its purpose as a session-closing workflow. It lists specific actions, provides natural trigger phrases users would actually say, and occupies a distinct niche that is unlikely to conflict with other skills. The description is concise yet comprehensive.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'audits changes', 'runs quality checks', 'captures learnings', and 'produces a session summary'. These are distinct, actionable capabilities.

3 / 3

Completeness

Clearly answers both what ('audits changes, runs quality checks, captures learnings, produces a session summary') and when ('Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session') with explicit triggers.

3 / 3

Trigger Term Quality

Includes natural phrases users would actually say: 'wrap up', 'done for the day', 'finish coding', 'ending a coding session'. These are realistic, conversational trigger terms covering multiple variations.

3 / 3

Distinctiveness Conflict Risk

The concept of an 'end-of-session ritual' is a clear niche. The trigger terms ('wrap up', 'done for the day', 'finish coding') are specific to session-ending contexts and unlikely to conflict with other skills like code review or testing.

3 / 3

Total

12

/

12

Passed

Implementation

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, concise session wrap-up ritual with clear sequencing and appropriate guardrails. The workflow is easy to follow and the commands are executable. The main gap is the lack of concrete output examples—a sample learning entry or session summary would elevate actionability.

Suggestions

Add a concrete example of a `[LEARN]` entry, e.g., `[LEARN] Testing: Always run integration tests after changing API routes`

Include a brief example of the expected one-paragraph session summary to make the output format unambiguous

DimensionReasoningScore

Conciseness

Every section is lean and purposeful. No unnecessary explanations of what git, linting, or testing are. The learning categories are a compact list, and the guardrails are terse but clear.

3 / 3

Actionability

The bash commands are concrete and executable, but the workflow steps (Changes Audit, Learning Capture, Next Session Context) are described at a checklist level without concrete examples of output format. A sample `[LEARN]` entry or a sample session summary would make it fully actionable.

2 / 3

Workflow Clarity

The five steps are clearly sequenced and logically ordered. Guardrails provide explicit validation checkpoints: flag failing tests before ending, ask about uncommitted changes. The final confirmation prompt ('Ready to end session?') acts as a gate before completion.

3 / 3

Progressive Disclosure

This is a short, single-purpose skill under 50 lines with well-organized sections (Trigger, Workflow, Commands, Guardrails, Output). No need for external references, and the structure is easy to scan and navigate.

3 / 3

Total

11

/

12

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
rohitg00/pro-workflow
Reviewed

Table of Contents

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