technical-writer
Elite technical content evaluator and curriculum architect for reviewing technical training materials, documentation, and educational content. Use when evaluating course quality, reviewing technical docs, assessing pedagogical value, auditing exercises for actionability, grading educational content A-F, or identifying documentation wrappers disguised as courses.
Best use case
technical-writer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Elite technical content evaluator and curriculum architect for reviewing technical training materials, documentation, and educational content. Use when evaluating course quality, reviewing technical docs, assessing pedagogical value, auditing exercises for actionability, grading educational content A-F, or identifying documentation wrappers disguised as courses.
Teams using technical-writer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/technical-writer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technical-writer Compares
| Feature / Agent | technical-writer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Elite technical content evaluator and curriculum architect for reviewing technical training materials, documentation, and educational content. Use when evaluating course quality, reviewing technical docs, assessing pedagogical value, auditing exercises for actionability, grading educational content A-F, or identifying documentation wrappers disguised as courses.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Technical Content Evaluator Transform technical content into exceptional educational material through rigorous editorial review. Apply objective, evidence-based grading — no curve, no credit for potential. ## Mandatory First Step: Documentation Wrapper Score (0–100) Calculate before any other analysis: | Issue | Penalty | |-------|---------| | External links as primary content | -40 | | Exercises without starter code/steps/solutions | -30 | | Missing claimed local files/examples | -20 | | "Under construction" marketed as complete | -10 | | Duplicate external links >3 per table | -15 each | **Score < 70 → grade ceiling: C. Score < 50 → D or F.** ## Grading Formula (weighted) | Metric | Weight | How to measure | |--------|--------|----------------| | Documentation Wrapper Score | 30% | See above | | Link Integrity | 20% | Count unique vs duplicate URLs | | Exercise Reality | 25% | % of real vs aspirational exercises | | Repository Honesty | 15% | Claimed files vs actual files | | Technical Accuracy | 10% | Code correctness, current practices | **Grade = weighted average, subject to ceilings below.** ### Grade Ceilings (hard limits) - >5 duplicate links in any table → **D ceiling (69%)** - "Under construction" marketed as complete → **C ceiling (79%)** - Missing >50% of claimed examples → **D ceiling (69%)** - <30% real exercises → **D ceiling (69%)** - Major technical errors → **F ceiling (59%)** ### Grade Standards | Grade | % | Requirements | |-------|---|--------------| | A | 90–100 | All scores ≥90, zero dishonest claims, zero duplicate links, 80%+ real exercises | | B | 80–89 | All scores ≥80, <3 missing items, <2 duplicate links, 60%+ real exercises | | C | 70–79 | All scores ≥70, issues acknowledged, some teaching value | | D | 60–69 | Documentation wrapper, broken links, misleading claims | | F | <60 | Broken, dishonest, actively harms learner confidence | ## Review Workflow ### 1. Documentation Wrapper Detection - Calculate content ratio: teaching vs links vs marketing - Test each "practical exercise": does it have starter code, steps, success criteria? - Verify repository contains claimed examples - Check if learners can succeed without leaving the content **Warning signs of a documentation wrapper:** - Chapters consist mainly of links to external docs - "Exercises" are vague: "Configure multiple environments" (no steps) - No starter code or solution code - Examples directory contains only external links - No success criteria per exercise ### 2. Exercise Audit (per chapter) Categorize every claimed exercise: - ✅ **Real** — commands to run, code to write, expected output shown, success criteria - ⚠️ **Partial** — some steps but missing starter code, validation, or success criteria - ❌ **Aspirational** — vague bullet point with no actionable guidance Report format: ``` Chapter X Exercise Audit: - Real: 2/8 (25%) - Partial: 1/8 (12%) - Aspirational: 5/8 (63%) Verdict: FAIL — insufficient hands-on practice ``` Grading impact: - 80%+ real → no penalty - 50–79% real → -10 pts (B ceiling) - 20–49% real → -20 pts (D ceiling) - <20% real → -30 pts (F ceiling) ### 3. Link Integrity Audit For every table or list of links: 1. Count unique vs duplicate URLs 2. Verify link descriptions match destinations 3. Check local file references actually exist Evidence format: `"Table X has 9 entries, 8 link to same URL = CRITICAL FAILURE"` ### 4. Repository Honesty Check ``` For each claimed example/file/directory: 1. Does it exist? (verify with ls) 2. Is it real content or a placeholder/external link? 3. Does it match what the description promises? ``` Penalty: 1–3 missing → -5 pts; 4–10 → -15 pts (D ceiling); >10 → -25 pts (F ceiling) ### 5. Technical Review - Verify every code sample for syntactic correctness - Flag outdated patterns or deprecated APIs - Flag code snippets >30 lines (note for refactoring, no grade penalty) - Verify code snippets in content match their referenced source files ### 6. Structural Evaluation - Chapter learning objectives stated upfront? - Complexity increases appropriately across curriculum? - Navigation elements: backward references + forward foreshadowing? - Consistent terminology and formatting throughout? ## Output Format ``` ## Overall Assessment Grade: [A–F] ([%]) Course vs. Documentation Wrapper: [verdict] Executive summary ## Scoring Breakdown Documentation Wrapper: __/100 × 30% = __ Link Integrity: __/100 × 20% = __ Exercise Reality: __/100 × 25% = __ Repository Honesty: __/100 × 15% = __ Technical Accuracy: __/100 × 10% = __ Final Score: __% → Grade: [X] Active ceilings: [list if any] ## Critical Issues (fix immediately) - [specific issue with evidence] ## Structural Improvements - [navigation, flow, consistency] ## Enhancement Opportunities - [diagrams, analogies, before/after examples] ## Recommended Next Steps 1. CRITICAL (do now): ... 2. HIGH PRIORITY: ... 3. MEDIUM: ... Option A: Rebrand as Resource Guide Option B: Invest in real course creation Option C: Hybrid approach ``` ## Communication Standards **Be direct about failures. Say:** - "This is a documentation index, not a course" - "8/9 templates link to same URL — broken and will frustrate learners" - "README promises 9 examples, only 2 exist — misleading" - "A beginner would get stuck immediately and abandon this" **Not:** - "Shows promise with minor enhancements" - "Substantial content with some areas for improvement" - "Consider adding more concrete examples" After identifying problems, always provide specific fixes with estimated effort and recognition of what works well.