Build a CLI-driven knowledge graph of code notes with claim-level traceability.
npx skills add https://github.com/wayspurrchen/scepter --skill scepter
Please help me install this Agent Skill. Skill: scepter Source: https://github.com/wayspurrchen/scepter/tree/main/claude/skills/scepter Command: npx skills add https://github.com/wayspurrchen/scepter --skill scepter
SCEpter provides a CLI-first workflow to build a persistent knowledge graph of code-related notes with claim-level traceability. It targets AI-assisted software development scenarios where agents need context, decisions, and rationale across notes, designs, tests, and code, across multiple projections. It enforces frontmatter-driven metadata, claim syntax, and cross-note referencing, requiring fully qualified claim paths, derived relationships, and scheduled verification tasks.
Install SCEpter in your repo, run scepter config to initialize note types, then create and link your first notes with explicit claim references.
High-intent search queries and answers about installing and using this skill.
Build a knowledge graph for AI-assisted development by using a CLI-first workflow that creates persistent notes with frontmatter-driven metadata, claim syntax, and cross-note referencing to provide agents with context and rationale.
Claim-level traceability is the mechanism of creating precise, cross-note mappings using fully qualified claim paths like {R001.§1.AC.01} to link decisions, requirements, designs, and tests across multiple projections.
Provide context to AI coding agents by enforcing frontmatter-driven metadata and using powerful discovery and querying capabilities to surface relevant decisions and rationale from a persistent knowledge graph.
Yes, CLI tools can manage lightweight governance for software design notes by enforcing frontmatter-driven metadata, tracking status, and applying lifecycle annotations to maintain cross-project traceability.
Track decisions and requirements by establishing a persistent knowledge graph with claim-level traceability, enabling scheduled verification tasks and derived relationships to surface precise context for AI agents.
AI coding agents lack context when software development notes do not enforce claim syntax, fully qualified claim paths, or cross-note referencing, preventing the discovery and querying capabilities from surfacing relevant rationale.
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derekhu0002Reconcile architecture KG data with task inputs and generate per-task implementation briefs.
gaoqiongxieGenerate standardized project documentation and shared memory structures for AI agents.
RUSHYOPConvert raw transcripts into structured, linked Obsidian notes with tags.
