7.1 KiB
ProductRequirementsSpecV0.1
Repository Scoping Requirements
Product Requirements Document (PRD)
Repository Scoping (v0.1)
1. Purpose
The Repository Scoping provides a structured, inspectable orientation layer for code repositories by mapping them from abilities → capabilities → features → implementation → evidence.
It enables developers, architects, and agents to:
- understand what a repository is useful for
- inspect how it implements that usefulness
- compare repositories based on real functionality
- search repositories using natural language
2. Problem Statement
Modern code repositories suffer from orientation opacity:
- usefulness is unclear from structure alone
- README files are incomplete or misleading
- functionality is scattered across code
- reuse decisions rely on tribal knowledge
This results in:
- wasted time exploring repositories
- duplicated work
- poor architectural decisions
- low reuse of existing assets
3. Goals
3.1 Primary Goal
Enable users to register a repository and understand its usefulness within minutes via an inspectable ability map.
3.2 Secondary Goals
- enable natural language search across repositories
- provide traceability from abstraction to code
- establish a foundation for proof-of-ability integration
- support both human and agent interaction
3.3 Non-Goals (v0.1)
- full automated benchmarking
- advanced ontology enforcement
- marketplace features
- monetization features
- full CI/CD integration
4. Users
4.1 Developer / Architect
- needs to find reusable functionality
- needs to understand unfamiliar repos quickly
4.2 Repository Owner
- wants their repo to be understandable and discoverable
4.3 Registry Curator
- ensures quality and correctness of extracted data
4.4 Agent / Automation
- queries registry programmatically
5. Core Concepts
Ability = why the repository is useful
Capability = what behavior it provides
Feature = how the behavior is exposed/implemented
Evidence = why the capability can be trusted
6. Product Scope (MVP)
6.1 Included
- repository registration
- repository analysis (semi-automated)
- ability/capability/feature extraction (assisted)
- human review and correction
- searchable registry
- inspectable repository view
6.2 Excluded
- automated full-code understanding engine
- distributed indexing
- deep static analysis
- real-time synchronization
- full dependency graph modeling
7. Functional Requirements
7.1 Repository Registration
FR-01
User can register a repository via Git URL.
FR-02
System validates repository access.
FR-03
System stores repository metadata.
7.2 Repository Analysis
FR-04
System clones or accesses repository contents.
FR-05
System extracts:
- languages
- structure
- interfaces (API, CLI, etc.)
- documentation files
- tests
7.3 Ability Extraction
FR-06
System generates candidate abilities based on:
- README
- documentation
- examples
FR-07
Each ability includes:
- name
- description
- confidence
- source references
7.4 Capability Extraction
FR-08
System identifies candidate capabilities from:
- modules
- APIs
- tests
- code structure
FR-09
Capabilities include:
- inputs
- outputs
- linked abilities
- description
7.5 Feature Extraction
FR-10
System identifies concrete features:
- endpoints
- CLI commands
- modules
- configuration interfaces
FR-11
Each feature includes:
- type
- implementation location
- linked capability
7.6 Evidence Linking
FR-12
System identifies potential evidence:
- tests
- examples
- benchmarks
- docs
FR-13
User can manually attach evidence to capabilities.
7.7 Review and Curation
FR-14
User can review extracted abilities, capabilities, features.
FR-15
User can edit, delete, or merge entries.
FR-16
User can approve registry entry.
7.8 Search
FR-17
User can search using natural language.
FR-18
System maps queries to abilities/capabilities.
FR-19
Search results include:
- repository name
- matching ability
- matching capability
- confidence
7.9 Inspection UI
FR-20
User can view repository profile.
FR-21
UI shows hierarchical structure:
Ability → Capability → Feature → Code
FR-22
User can drill down to:
- feature details
- code locations
- evidence
7.10 API Access
FR-23
System exposes API endpoints for:
- search
- repository retrieval
- capability lookup
8. Non-Functional Requirements
8.1 Performance
- search results returned within < 2 seconds
- repository analysis < 2 minutes for medium repos
8.2 Scalability
- support 100–1,000 repositories (MVP)
- architecture allows later horizontal scaling
8.3 Usability
- repository can be registered in < 2 minutes
- inspection view understandable within 1 minute
8.4 Extensibility
- schema versioned
- ability to extend capability model later
8.5 Reliability
- analysis failures do not corrupt registry
- partial results allowed
9. Data Model (Simplified)
Repository:
id
name
url
description
metadata
Ability:
id
name
description
confidence
Capability:
id
name
description
inputs
outputs
ability_refs
Feature:
id
name
type
location
capability_refs
Evidence:
id
type
reference
capability_refs
10. User Experience
10.1 Key Screens
1. Repository Registration
- input URL
- confirm metadata
2. Analysis View
- detected structure
- proposed abilities/capabilities/features
3. Review Interface
- edit/approve entries
4. Search Page
- natural language search
- result list
5. Repository Profile Page
- ability map
- drill-down navigation
- code links
11. Success Metrics
11.1 Product Metrics
- time to understand a repository < 5 minutes
- number of repositories indexed
- number of successful searches
- user engagement with inspection view
11.2 Qualitative Metrics
- “I understand what this repo does now”
- “I found something reusable”
- “This saved me time”
12. Risks
12.1 Extraction Quality Risk
- automated inference may be inaccurate
Mitigation: human review required
12.2 Over-Complexity Risk
- ontology becomes too heavy
Mitigation: keep schema minimal in v0.1
12.3 Adoption Risk
- users may not contribute metadata
Mitigation: provide value via auto-analysis first
13. Future Extensions
- integration with CI/CD for live updates
- ability benchmarking integration (ties back to GIL)
- capability maturity scoring
- dependency graph across repositories
- marketplace / discovery layer
- automated code reasoning agents
14. Positioning
The Repository Scoping is the missing orientation layer between raw code and practical reuse—making repositories understandable, comparable, and actionable.
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