Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Install with Tessl CLI
npx tessl i github:projectbluefin/dakota --skill receiving-code-review80
Quality
70%
Does it follow best practices?
Impact
97%
1.34xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./.opencode/skills/receiving-code-review/SKILL.mdDiscovery
40%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 description clearly identifies WHEN to use the skill (receiving code review feedback) but fails to specify WHAT the skill actually does. It focuses on philosophy and anti-patterns rather than concrete capabilities, leaving Claude unable to understand what actions this skill enables.
Suggestions
Add specific actions the skill performs, e.g., 'Analyzes code review feedback for technical accuracy, verifies suggestions against existing codebase patterns, and identifies potentially problematic recommendations'
Expand trigger terms to include common variations like 'PR comments', 'review comments', 'suggested changes', 'reviewer suggestions', 'merge request feedback'
Replace philosophical language ('technical rigor', 'not performative agreement') with concrete capabilities that describe what the skill outputs or accomplishes
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description lacks concrete actions - it describes an attitude ('technical rigor and verification') and what NOT to do ('not performative agreement or blind implementation') but never specifies what the skill actually DOES (e.g., 'analyzes feedback validity', 'verifies suggestions against codebase'). | 1 / 3 |
Completeness | The 'when' is explicitly stated ('Use when receiving code review feedback, before implementing suggestions'), but the 'what' is missing - it describes the approach/philosophy but not the actual capabilities or actions the skill performs. | 2 / 3 |
Trigger Term Quality | Contains some relevant keywords like 'code review feedback', 'implementing suggestions', and 'technically questionable', but misses common variations users might say like 'PR comments', 'review comments', 'suggested changes', or 'reviewer feedback'. | 2 / 3 |
Distinctiveness Conflict Risk | The focus on code review feedback provides some specificity, but the vague capability description ('technical rigor and verification') could overlap with general code analysis or debugging skills. The niche is identifiable but not sharply defined. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill file that demonstrates strong technical writing. It's concise yet comprehensive, with clear workflows, concrete examples contrasting good and bad behaviors, and explicit validation checkpoints. The content respects Claude's intelligence while providing actionable guidance for a nuanced interpersonal-technical task.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, using structured patterns, tables, and examples without explaining concepts Claude already knows. Every section serves a purpose with no padding or unnecessary context. | 3 / 3 |
Actionability | Provides concrete, executable guidance with specific patterns, real examples showing good vs bad responses, and clear decision trees. The GitHub API command is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear sequential workflow with explicit validation checkpoints (READ→UNDERSTAND→VERIFY→EVALUATE→RESPOND→IMPLEMENT). Includes feedback loops for unclear items and explicit 'stop and clarify' gates before proceeding. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from overview to specific scenarios. Content is appropriately structured within a single file given the skill's scope, with logical groupings and a summary table. | 3 / 3 |
Total | 12 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Table of Contents
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