Wave-based comprehensive project documentation generator with dynamic task decomposition. Analyzes project structure and generates appropriate documentation tasks, computes optimal execution waves via topological sort, produces complete documentation suite including architecture, methods, theory, features, usage, and design philosophy.
44
48%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./.codex/skills/project-documentation-workflow/SKILL.mdQuality
Discovery
42%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description is technically detailed about its capabilities, listing specific documentation outputs and its wave-based execution approach. However, it reads more like an internal technical specification than a skill description optimized for selection, lacking any 'Use when...' guidance and relying on jargon that users wouldn't naturally use. The absence of explicit trigger conditions is its most significant weakness.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks to document a project, generate project docs, create a documentation suite, or needs architecture/design documentation.'
Include natural user-facing trigger terms like 'document my project', 'generate docs', 'project documentation', 'README', 'API docs', 'codebase documentation'.
Reduce technical jargon like 'topological sort' and 'dynamic task decomposition' which describe implementation details rather than helping Claude match user requests to this skill.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: analyzes project structure, generates documentation tasks, computes execution waves via topological sort, produces documentation suite including architecture, methods, theory, features, usage, and design philosophy. | 3 / 3 |
Completeness | Describes what it does reasonably well but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, a missing 'Use when...' clause caps completeness at 2, and the 'when' is not even implied clearly, warranting a 1. | 1 / 3 |
Trigger Term Quality | Contains relevant terms like 'documentation', 'project structure', 'architecture', but uses technical jargon like 'topological sort', 'wave-based', 'dynamic task decomposition' that users wouldn't naturally say. Missing common user phrases like 'document my project', 'generate docs', 'README'. | 2 / 3 |
Distinctiveness Conflict Risk | The wave-based approach and topological sort give it some distinctiveness, but 'project documentation generator' is broad enough to overlap with other documentation-related skills. The specific documentation types (architecture, methods, theory) help somewhat but aren't strongly distinctive. | 2 / 3 |
Total | 8 / 12 Passed |
Implementation
55%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 comprehensive and highly actionable documentation workflow with excellent workflow clarity including dependency management, wave execution, and inter-wave context propagation. However, it is severely over-long for a SKILL.md file—embedding hundreds of lines of implementation code inline rather than splitting into referenced modules. The mixed Chinese/English text and verbose ASCII diagrams further inflate token cost without proportional benefit.
Suggestions
Extract the topological sort algorithm, wave summary generation, instruction template, and aggregation logic into separate bundle files (e.g., lib/topo-sort.js, templates/agent-instruction.md, lib/aggregation.js) and reference them from SKILL.md
Remove implementation details Claude can derive (e.g., Kahn's algorithm is well-known) and replace with concise function signatures and behavioral descriptions
Consolidate the SKILL.md to a concise overview (~100 lines) covering usage, CSV schema, phase descriptions, and core rules, with pointers to detailed implementation files
Standardize on one language (English or Chinese) for all content to reduce cognitive overhead and token waste from bilingual annotations
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~500+ lines with extensive inline code that could be modularized. Includes redundant explanations, mixed Chinese/English commentary, and implementation details (like the full topological sort algorithm) that Claude already knows. The optimization comparison table and ASCII diagrams add bulk without proportional value. | 1 / 3 |
Actionability | Provides fully executable JavaScript code for every phase including session initialization, topological sort, wave execution, summary generation, and results aggregation. CSV schema is precisely defined with column types and descriptions. The instruction template is copy-paste ready with clear variable substitution patterns. | 3 / 3 |
Workflow Clarity | Clear three-phase workflow (Decomposition → Wave Execution → Aggregation) with explicit validation checkpoints: user confirmation after task decomposition, dependency checking before each wave, status tracking per task, and error propagation (failed deps → skip dependents). The feedback loop of wave summary generation feeding into next wave context is well-defined. | 3 / 3 |
Progressive Disclosure | Monolithic wall of text with all implementation details inline in a single file. The topological sort algorithm, wave summary generation, instruction template, and aggregation logic should be in separate referenced files. No bundle files are provided despite the complexity warranting them. The output structure diagram at the end hints at organization but the skill itself lacks it. | 1 / 3 |
Total | 8 / 12 Passed |
Validation
72%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 8 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (809 lines); consider splitting into references/ and linking | Warning |
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 | 8 / 11 Passed | |
5ff5e86
Table of Contents
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.