Update decomposition skill documentation and templates; remove obsolete feature specification and initial structure templates. Enhance task decomposition descriptions and adjust directory paths for project documentation.

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Oleksandr Bezdieniezhnykh
2026-03-25 06:40:30 +02:00
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---
name: document
description: |
Bottom-up codebase documentation skill. Analyzes existing code from modules up through components
to architecture, then retrospectively derives problem/restrictions/acceptance criteria.
Produces the same _docs/ artifacts as the problem, research, and plan skills, but from code
analysis instead of user interview.
Trigger phrases:
- "document", "document codebase", "document this project"
- "documentation", "generate documentation", "create documentation"
- "reverse-engineer docs", "code to docs"
- "analyze and document"
category: build
tags: [documentation, code-analysis, reverse-engineering, architecture, bottom-up]
disable-model-invocation: true
---
# Bottom-Up Codebase Documentation
Analyze an existing codebase from the bottom up — individual modules first, then components, then system-level architecture — and produce the same `_docs/` artifacts that the `problem` and `plan` skills generate, without requiring user interview.
## Core Principles
- **Bottom-up always**: module docs -> component specs -> architecture/flows -> solution -> problem extraction. Every higher level is synthesized from the level below.
- **Dependencies first**: process modules in topological order (leaves first). When documenting module X, all of X's dependencies already have docs.
- **Incremental context**: each module's doc uses already-written dependency docs as context — no ever-growing chain.
- **Verify against code**: cross-reference every entity in generated docs against actual codebase. Catch hallucinations.
- **Save immediately**: write each artifact as soon as its step completes. Enable resume from any checkpoint.
- **Ask, don't assume**: when code intent is ambiguous, ASK the user before proceeding.
## Context Resolution
Fixed paths:
- DOCUMENT_DIR: `_docs/02_document/`
- SOLUTION_DIR: `_docs/01_solution/`
- PROBLEM_DIR: `_docs/00_problem/`
Optional input:
- FOCUS_DIR: a specific directory subtree provided by the user (e.g., `/document @src/api/`). When set, only this subtree and its transitive dependencies are analyzed.
Announce resolved paths (and FOCUS_DIR if set) to user before proceeding.
## Mode Detection
Determine the execution mode before any other logic:
| Mode | Trigger | Scope |
|------|---------|-------|
| **Full** | No input file, no existing state | Entire codebase |
| **Focus Area** | User provides a directory path (e.g., `@src/api/`) | Only the specified subtree + transitive dependencies |
| **Resume** | `state.json` exists in DOCUMENT_DIR | Continue from last checkpoint |
Focus Area mode produces module + component docs for the targeted area only. It can be run repeatedly for different areas — each run appends to the existing module and component docs without overwriting other areas.
## Prerequisite Checks
1. If `_docs/` already exists and contains files AND mode is **Full**, ASK user: **overwrite, merge, or write to `_docs_generated/` instead?**
2. Create DOCUMENT_DIR, SOLUTION_DIR, and PROBLEM_DIR if they don't exist
3. If DOCUMENT_DIR contains a `state.json`, offer to **resume from last checkpoint or start fresh**
4. If FOCUS_DIR is set, verify the directory exists and contains source files — **STOP if missing**
## Progress Tracking
Create a TodoWrite with all steps (0 through 7). Update status as each step completes.
## Workflow
### Step 0: Codebase Discovery
**Role**: Code analyst
**Goal**: Build a complete map of the codebase (or targeted subtree) before analyzing any code.
**Focus Area scoping**: if FOCUS_DIR is set, limit the scan to that directory subtree. Still identify transitive dependencies outside FOCUS_DIR (modules that FOCUS_DIR imports) and include them in the processing order, but skip modules that are neither inside FOCUS_DIR nor dependencies of it.
Scan and catalog:
1. Directory tree (ignore `node_modules`, `.git`, `__pycache__`, `bin/`, `obj/`, build artifacts)
2. Language detection from file extensions and config files
3. Package manifests: `package.json`, `requirements.txt`, `pyproject.toml`, `*.csproj`, `Cargo.toml`, `go.mod`
4. Config files: `Dockerfile`, `docker-compose.yml`, `.env.example`, CI/CD configs (`.github/workflows/`, `.gitlab-ci.yml`, `azure-pipelines.yml`)
5. Entry points: `main.*`, `app.*`, `index.*`, `Program.*`, startup scripts
6. Test structure: test directories, test frameworks, test runner configs
7. Existing documentation: README, `docs/`, wiki references, inline doc coverage
8. **Dependency graph**: build a module-level dependency graph by analyzing imports/references. Identify:
- Leaf modules (no internal dependencies)
- Entry points (no internal dependents)
- Cycles (mark for grouped analysis)
- Topological processing order
- If FOCUS_DIR: mark which modules are in-scope vs dependency-only
**Save**: `DOCUMENT_DIR/00_discovery.md` containing:
- Directory tree (concise, relevant directories only)
- Tech stack summary table (language, framework, database, infra)
- Dependency graph (textual list + Mermaid diagram)
- Topological processing order
- Entry points and leaf modules
**Save**: `DOCUMENT_DIR/state.json` with initial state:
```json
{
"current_step": "module-analysis",
"completed_steps": ["discovery"],
"focus_dir": null,
"modules_total": 0,
"modules_documented": [],
"modules_remaining": [],
"module_batch": 0,
"components_written": [],
"last_updated": ""
}
```
Set `focus_dir` to the FOCUS_DIR path if in Focus Area mode, or `null` for Full mode.
---
### Step 1: Module-Level Documentation
**Role**: Code analyst
**Goal**: Document every identified module individually, processing in topological order (leaves first).
**Batched processing**: process modules in batches of ~5 (sorted by topological order). After each batch: save all module docs, update `state.json`, present a progress summary. Between batches, evaluate whether to suggest a session break.
For each module in topological order:
1. **Read**: read the module's source code. Assess complexity and what context is needed.
2. **Gather context**: collect already-written docs of this module's dependencies (available because of bottom-up order). Note external library usage.
3. **Write module doc** with these sections:
- **Purpose**: one-sentence responsibility
- **Public interface**: exported functions/classes/methods with signatures, input/output types
- **Internal logic**: key algorithms, patterns, non-obvious behavior
- **Dependencies**: what it imports internally and why
- **Consumers**: what uses this module (from the dependency graph)
- **Data models**: entities/types defined in this module
- **Configuration**: env vars, config keys consumed
- **External integrations**: HTTP calls, DB queries, queue operations, file I/O
- **Security**: auth checks, encryption, input validation, secrets access
- **Tests**: what tests exist for this module, what they cover
4. **Verify**: cross-check that every entity referenced in the doc exists in the codebase. Flag uncertainties.
**Cycle handling**: modules in a dependency cycle are analyzed together as a group, producing a single combined doc.
**Large modules**: if a module exceeds comfortable analysis size, split into logical sub-sections and analyze each part, then combine.
**Save**: `DOCUMENT_DIR/modules/[module_name].md` for each module.
**State**: update `state.json` after each module completes (move from `modules_remaining` to `modules_documented`). Increment `module_batch` after each batch of ~5.
**Session break heuristic**: after each batch, if more than 10 modules remain AND 2+ batches have already completed in this session, suggest a session break:
```
══════════════════════════════════════
SESSION BREAK SUGGESTED
══════════════════════════════════════
Modules documented: [X] of [Y]
Batches completed this session: [N]
══════════════════════════════════════
A) Continue in this conversation
B) Save and continue in a fresh conversation (recommended)
══════════════════════════════════════
Recommendation: B — fresh context improves
analysis quality for remaining modules
══════════════════════════════════════
```
Re-entry is seamless: `state.json` tracks exactly which modules are done.
---
### Step 2: Component Assembly
**Role**: Software architect
**Goal**: Group related modules into logical components and produce component specs.
1. Analyze module docs from Step 1 to identify natural groupings:
- By directory structure (most common)
- By shared data models or common purpose
- By dependency clusters (tightly coupled modules)
2. For each identified component, synthesize its module docs into a single component specification using `templates/component-spec.md` as structure:
- High-level overview: purpose, pattern, upstream/downstream
- Internal interfaces: method signatures, DTOs (from actual module code)
- External API specification (if the component exposes HTTP/gRPC endpoints)
- Data access patterns: queries, caching, storage estimates
- Implementation details: algorithmic complexity, state management, key libraries
- Extensions and helpers: shared utilities needed
- Caveats and edge cases: limitations, race conditions, bottlenecks
- Dependency graph: implementation order relative to other components
- Logging strategy
3. Identify common helpers shared across multiple components -> document in `common-helpers/`
4. Generate component relationship diagram (Mermaid)
**Self-verification**:
- [ ] Every module from Step 1 is covered by exactly one component
- [ ] No component has overlapping responsibility with another
- [ ] Inter-component interfaces are explicit (who calls whom, with what)
- [ ] Component dependency graph has no circular dependencies
**Save**:
- `DOCUMENT_DIR/components/[##]_[name]/description.md` per component
- `DOCUMENT_DIR/common-helpers/[##]_helper_[name].md` per shared helper
- `DOCUMENT_DIR/diagrams/components.md` (Mermaid component diagram)
**BLOCKING**: Present component list with one-line summaries to user. Do NOT proceed until user confirms the component breakdown is correct.
---
### Step 3: System-Level Synthesis
**Role**: Software architect
**Goal**: From component docs, synthesize system-level documents.
All documents here are derived from component docs (Step 2) + module docs (Step 1). No new code reading should be needed. If it is, that indicates a gap in Steps 1-2 — go back and fill it.
#### 3a. Architecture
Using `templates/architecture.md` as structure:
- System context and boundaries from entry points and external integrations
- Tech stack table from discovery (Step 0) + component specs
- Deployment model from Dockerfiles, CI configs, environment strategies
- Data model overview from per-component data access sections
- Integration points from inter-component interfaces
- NFRs from test thresholds, config limits, health checks
- Security architecture from per-module security observations
- Key ADRs inferred from technology choices and patterns
**Save**: `DOCUMENT_DIR/architecture.md`
#### 3b. System Flows
Using `templates/system-flows.md` as structure:
- Trace main flows through the component interaction graph
- Entry point -> component chain -> output for each major flow
- Mermaid sequence diagrams and flowcharts
- Error scenarios from exception handling patterns
- Data flow tables per flow
**Save**: `DOCUMENT_DIR/system-flows.md` and `DOCUMENT_DIR/diagrams/flows/flow_[name].md`
#### 3c. Data Model
- Consolidate all data models from module docs
- Entity-relationship diagram (Mermaid ERD)
- Migration strategy (if ORM/migration tooling detected)
- Seed data observations
- Backward compatibility approach (if versioning found)
**Save**: `DOCUMENT_DIR/data_model.md`
#### 3d. Deployment (if Dockerfile/CI configs exist)
- Containerization summary
- CI/CD pipeline structure
- Environment strategy (dev, staging, production)
- Observability (logging patterns, metrics, health checks found in code)
**Save**: `DOCUMENT_DIR/deployment/` (containerization.md, ci_cd_pipeline.md, environment_strategy.md, observability.md — only files for which sufficient code evidence exists)
---
### Step 4: Verification Pass
**Role**: Quality verifier
**Goal**: Compare every generated document against actual code. Fix hallucinations, fill gaps, correct inaccuracies.
For each document generated in Steps 1-3:
1. **Entity verification**: extract all code entities (class names, function names, module names, endpoints) mentioned in the doc. Cross-reference each against the actual codebase. Flag any that don't exist.
2. **Interface accuracy**: for every method signature, DTO, or API endpoint in component specs, verify it matches actual code.
3. **Flow correctness**: for each system flow diagram, trace the actual code path and verify the sequence matches.
4. **Completeness check**: are there modules or components discovered in Step 0 that aren't covered by any document? Flag gaps.
5. **Consistency check**: do component docs agree with architecture doc? Do flow diagrams match component interfaces?
Apply corrections inline to the documents that need them.
**Save**: `DOCUMENT_DIR/04_verification_log.md` with:
- Total entities verified vs flagged
- Corrections applied (which document, what changed)
- Remaining gaps or uncertainties
- Completeness score (modules covered / total modules)
**BLOCKING**: Present verification summary to user. Do NOT proceed until user confirms corrections are acceptable or requests additional fixes.
**Session boundary**: After verification is confirmed, suggest a session break before proceeding to the synthesis steps (57). These steps produce different artifact types and benefit from fresh context:
```
══════════════════════════════════════
VERIFICATION COMPLETE — session break?
══════════════════════════════════════
Steps 04 (analysis + verification) are done.
Steps 57 (solution + problem extraction + report)
can run in a fresh conversation.
══════════════════════════════════════
A) Continue in this conversation
B) Save and continue in a new conversation (recommended)
══════════════════════════════════════
```
If **Focus Area mode**: Steps 57 are skipped (they require full codebase coverage). Present a summary of modules and components documented for this area. The user can run `/document` again for another area, or run without FOCUS_DIR once all areas are covered to produce the full synthesis.
---
### Step 5: Solution Extraction (Retrospective)
**Role**: Software architect
**Goal**: From all verified technical documentation, retrospectively create `solution.md` — the same artifact the research skill produces. This makes downstream skills (`plan`, `deploy`, `decompose`) compatible with the documented codebase.
Synthesize from architecture (Step 3) + component specs (Step 2) + system flows (Step 3) + verification findings (Step 4):
1. **Product Solution Description**: what the system is, brief component interaction diagram (Mermaid)
2. **Architecture**: the architecture that is implemented, with per-component solution tables:
| Solution | Tools | Advantages | Limitations | Requirements | Security | Cost | Fit |
|----------|-------|-----------|-------------|-------------|----------|------|-----|
| [actual implementation] | [libs/platforms used] | [observed strengths] | [observed limitations] | [requirements met] | [security approach] | [cost indicators] | [fitness assessment] |
3. **Testing Strategy**: summarize integration/functional tests and non-functional tests found in the codebase
4. **References**: links to key config files, Dockerfiles, CI configs that evidence the solution choices
**Save**: `SOLUTION_DIR/solution.md` (`_docs/01_solution/solution.md`)
---
### Step 6: Problem Extraction (Retrospective)
**Role**: Business analyst
**Goal**: From all verified technical docs, retrospectively derive the high-level problem definition — producing the same documents the `problem` skill creates through interview.
This is the inverse of normal workflow: instead of problem -> solution -> code, we go code -> technical docs -> problem understanding.
#### 6a. `problem.md`
- Synthesize from architecture overview + component purposes + system flows
- What is this system? What problem does it solve? Who are the users? How does it work at a high level?
- Cross-reference with README if one exists
- Free-form text, concise, readable by someone unfamiliar with the project
#### 6b. `restrictions.md`
- Extract from: tech stack choices, Dockerfile specs (OS, base images), CI configs (platform constraints), dependency versions, environment configs
- Categorize with headers: Hardware, Software, Environment, Operational
- Each restriction should be specific and testable
#### 6c. `acceptance_criteria.md`
- Derive from: test assertions (expected values, thresholds), performance configs (timeouts, rate limits, batch sizes), health check endpoints, validation rules in code
- Categorize with headers by domain
- Every criterion must have a measurable value — if only implied, note the source
#### 6d. `input_data/`
- Document data schemas found (DB schemas, API request/response types, config file formats)
- Create `data_parameters.md` describing what data the system consumes, formats, volumes, update patterns
#### 6e. `security_approach.md` (only if security code found)
- Authentication mechanisms, authorization patterns, encryption, secrets handling, CORS, rate limiting, input sanitization — all from code observations
- If no security-relevant code found, skip this file
**Save**: all files to `PROBLEM_DIR/` (`_docs/00_problem/`)
**BLOCKING**: Present all problem documents to user. These are the most abstracted and therefore most prone to interpretation error. Do NOT proceed until user confirms or requests corrections.
---
### Step 7: Final Report
**Role**: Technical writer
**Goal**: Produce `FINAL_report.md` integrating all generated documentation.
Using `templates/final-report.md` as structure:
- Executive summary from architecture + problem docs
- Problem statement (transformed from problem.md, not copy-pasted)
- Architecture overview with tech stack one-liner
- Component summary table (number, name, purpose, dependencies)
- System flows summary table
- Risk observations from verification log (Step 4)
- Open questions (uncertainties flagged during analysis)
- Artifact index listing all generated documents with paths
**Save**: `DOCUMENT_DIR/FINAL_report.md`
**State**: update `state.json` with `current_step: "complete"`.
---
## Artifact Management
### Directory Structure
```
_docs/
├── 00_problem/ # Step 6 (retrospective)
│ ├── problem.md
│ ├── restrictions.md
│ ├── acceptance_criteria.md
│ ├── input_data/
│ │ └── data_parameters.md
│ └── security_approach.md
├── 01_solution/ # Step 5 (retrospective)
│ └── solution.md
└── 02_document/ # DOCUMENT_DIR
├── 00_discovery.md # Step 0
├── modules/ # Step 1
│ ├── [module_name].md
│ └── ...
├── components/ # Step 2
│ ├── 01_[name]/description.md
│ ├── 02_[name]/description.md
│ └── ...
├── common-helpers/ # Step 2
├── architecture.md # Step 3
├── system-flows.md # Step 3
├── data_model.md # Step 3
├── deployment/ # Step 3
├── diagrams/ # Steps 2-3
│ ├── components.md
│ └── flows/
├── 04_verification_log.md # Step 4
├── FINAL_report.md # Step 7
└── state.json # Resumability
```
### Resumability
Maintain `DOCUMENT_DIR/state.json`:
```json
{
"current_step": "module-analysis",
"completed_steps": ["discovery"],
"focus_dir": null,
"modules_total": 12,
"modules_documented": ["utils/helpers", "models/user"],
"modules_remaining": ["services/auth", "api/endpoints"],
"module_batch": 1,
"components_written": [],
"last_updated": "2026-03-21T14:00:00Z"
}
```
Update after each module/component completes. If interrupted, resume from next undocumented module.
When resuming:
1. Read `state.json`
2. Cross-check against actual files in DOCUMENT_DIR (trust files over state if they disagree)
3. Continue from the next incomplete item
4. Inform user which steps are being skipped
### Save Principles
1. **Save immediately**: write each module doc as soon as analysis completes
2. **Incremental context**: each subsequent module uses already-written docs as context
3. **Preserve intermediates**: keep all module docs even after synthesis into component docs
4. **Enable recovery**: state file tracks exact progress for resume
## Escalation Rules
| Situation | Action |
|-----------|--------|
| Minified/obfuscated code detected | WARN user, skip module, note in verification log |
| Module too large for context window | Split into sub-sections, analyze parts separately, combine |
| Cycle in dependency graph | Group cycled modules, analyze together as one doc |
| Generated code (protobuf, swagger-gen) | Note as generated, document the source spec instead |
| No tests found in codebase | Note gap in acceptance_criteria.md, derive AC from validation rules and config limits only |
| Contradictions between code and README | Flag in verification log, ASK user |
| Binary files or non-code assets | Skip, note in discovery |
| `_docs/` already exists | ASK user: overwrite, merge, or use `_docs_generated/` |
| Code intent is ambiguous | ASK user, do not guess |
## Common Mistakes
- **Top-down guessing**: never infer architecture before documenting modules. Build up, don't assume down.
- **Hallucinating entities**: always verify that referenced classes/functions/endpoints actually exist in code.
- **Skipping modules**: every source module must appear in exactly one module doc and one component.
- **Monolithic analysis**: don't try to analyze the entire codebase in one pass. Module by module, in order.
- **Inventing restrictions**: only document constraints actually evidenced in code, configs, or Dockerfiles.
- **Vague acceptance criteria**: "should be fast" is not a criterion. Extract actual numeric thresholds from code.
- **Writing code**: this skill produces documents, never implementation code.
## Methodology Quick Reference
```
┌──────────────────────────────────────────────────────────────────┐
│ Bottom-Up Codebase Documentation (8-Step) │
├──────────────────────────────────────────────────────────────────┤
│ MODE: Full / Focus Area (@dir) / Resume (state.json) │
│ PREREQ: Check _docs/ exists (overwrite/merge/new?) │
│ PREREQ: Check state.json for resume │
│ │
│ 0. Discovery → dependency graph, tech stack, topo order │
│ (Focus Area: scoped to FOCUS_DIR + transitive deps) │
│ 1. Module Docs → per-module analysis (leaves first) │
│ (batched ~5 modules; session break between batches) │
│ 2. Component Assembly → group modules, write component specs │
│ [BLOCKING: user confirms components] │
│ 3. System Synthesis → architecture, flows, data model, deploy │
│ 4. Verification → compare all docs vs code, fix errors │
│ [BLOCKING: user reviews corrections] │
│ [SESSION BREAK suggested before Steps 57] │
│ ── Focus Area mode stops here ── │
│ 5. Solution Extraction → retrospective solution.md │
│ 6. Problem Extraction → retrospective problem, restrictions, AC │
│ [BLOCKING: user confirms problem docs] │
│ 7. Final Report → FINAL_report.md │
├──────────────────────────────────────────────────────────────────┤
│ Principles: Bottom-up always · Dependencies first │
│ Incremental context · Verify against code │
│ Save immediately · Resume from checkpoint │
│ Batch modules · Session breaks for large codebases │
└──────────────────────────────────────────────────────────────────┘
```