Content
28%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads like a marketing overview or README rather than an actionable skill file. It describes what Progressive Estimation does at a conceptual level but provides zero concrete implementation: no formulas, no multiplier values, no classification criteria, no PERT calculation examples, and no executable code or commands. Claude would not be able to perform estimation from this content alone.
Suggestions
Add the actual PERT formula (E = (O + 4M + P) / 6) with concrete examples showing input values and calculated output for at least one task size
Include the specific multipliers for human-only, hybrid, and agent-first modes with a lookup table or decision tree
Provide the task classification criteria (what makes something XS vs XL) with concrete examples rather than just listing the labels
Add at least one complete worked example showing a task going through all 7 steps with actual numbers, producing a final estimate with confidence bands
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is moderately efficient but includes some unnecessary sections like 'Overview' that restates the title/description, and 'When to Use This Skill' which lists fairly obvious use cases Claude could infer. The 'How It Works' section describes a process at a high level without adding actionable detail. | 3 / 5 |
Actionability | The skill provides no concrete code, commands, formulas, or executable guidance. It describes what the skill does conceptually ('applies research-backed multipliers,' 'PERT calculation') but never shows the actual formulas, multipliers, classification criteria, or any concrete implementation. The examples show prompts to give, not how to perform the estimation. | 1 / 5 |
Workflow Clarity | The 'How It Works' section lists 7 steps at a very high level but provides no specifics on how to execute any of them — no formulas for PERT calculation, no multiplier values, no classification criteria, no validation checkpoints. The steps are essentially labels without substance. | 2 / 5 |
Progressive Disclosure | The skill references external resources (GitHub repo, installation guide, research references) and related skills, which is good structure. However, there are no bundle files provided, so the references to formulas, multipliers, and calibration systems that should be in supporting files are simply missing rather than properly disclosed. The content that should be the core of the skill (formulas, multipliers, classification criteria) is neither inline nor referenced. | 3 / 5 |
Total | 9 / 20 Passed |