terraphim
@terraphim Organization
Public Skills
ai-config-management
by terraphim
Produce formal specifications for AI-enabled Configuration Management (CM) systems that operationalise Context Engineering principles. Use when tasked with: (1) creating CM specifications for AI-enabled programs, (2) defining semantic governance models for AI artefacts, (3) designing drift detection frameworks for prompts/models/domains, (4) specifying stage-gate control logic with semantic validation, (5) building traceability models across AI lifecycle stages, (6) defining change control for prompt and model evolution, (7) architecting AI agent roles for configuration governance, or (8) any configuration control task involving probabilistic AI behaviour, evolving prompts, shifting domain definitions, or artefact proliferation.
judge
by terraphim
Evaluate agent task outputs using a three-dimension rubric (Semantic, Pragmatic, Syntactic) derived from the KLS quality framework. Use when: (1) a task has been completed and needs quality assessment before acceptance, (2) automated post-task quality checks are required, (3) multi-model consensus verdicts are needed for agent outputs, (4) documentation, code, or specification quality must be scored with structured JSON verdicts, or (5) a human fallback decision is needed after model disagreement. Produces JSONL verdict records compatible with the verdict schema in automation/judge/.
quality-gate
by terraphim
Right-side-of-V verification/validation orchestration for a change or PR. Produces a single Quality Gate Report with evidence covering: code review, security audit, performance regression risk, requirements traceability, acceptance/UAT scenarios, and (when UI changes) visual regression testing. Use when preparing a PR for merge/release, doing a “ready?” check, or enforcing an engineering quality gate.
disciplined-research
by terraphim
Phase 1 of disciplined development. Deep problem understanding before design. Maps existing systems, identifies constraints, surfaces risks, and produces a research document for human approval before proceeding.
rust-development
by terraphim
Idiomatic Rust development with focus on safety, performance, and ergonomics. Expert in async/await, error handling, trait design, and the Rust ecosystem.
ubs-scanner
by terraphim
Run Ultimate Bug Scanner for automated bug detection across multiple languages. Detects 1000+ bug patterns including null pointers, security vulnerabilities, async/await issues, and resource leaks. Integrates with quality-gate workflow.
disciplined-implementation
by terraphim
Phase 3 of disciplined development. Executes approved implementation plans step by step. Each step includes tests, follows the design exactly, and produces reviewable commits.
git-safety-guard
by terraphim
Blocks destructive git and filesystem commands before execution. Prevents accidental loss of uncommitted work from git checkout --, git reset --hard, rm -rf, and similar destructive operations. Works as a Claude Code PreToolUse hook with fail-open semantics.
disciplined-verification
by terraphim
Phase 4 of disciplined development. Verifies implementation against design through unit and integration testing. Builds traceability matrices, tracks coverage, and loops defects back to originating left-side phases.
md-book
by terraphim
MD-Book documentation generator skill. Use when working with MD-Book, a modern mdbook replacement for generating HTML documentation from Markdown files. Supports syntax highlighting, live reload, Pagefind search, and Tera templates.
gpui-components
by terraphim
Generates Rust code for GPUI desktop UI components following Zed editor patterns. Use when building desktop applications with gpui crate, creating themed UI components, implementing autocomplete/completions, building command palettes, or working with the gpui-component library. Covers RenderOnce components, Entity state management, theming with ActiveTheme, and Zed-style UI patterns.
disciplined-quality-evaluation
by terraphim
Phase 1.5/2.5 of disciplined development. Evaluates document quality using the KLS (Krogstie-Lindland-Sindre) 6-dimension framework. Produces structured ratings, identifies gaps, suggests specific revisions, and blocks phase transitions when quality is below threshold. Applies to Phase 1 research docs and Phase 2 design docs.
session-search
by terraphim
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
quickwit-log-search
by terraphim
Log exploration and analysis using Quickwit search engine. Incident investigation, error pattern analysis, and observability workflows. Three index discovery modes for different performance and convenience trade-offs.
disciplined-design
by terraphim
Phase 2 of disciplined development. Creates implementation plans based on approved research. Specifies file changes, function signatures, test strategy, and step sequence. Requires human approval before implementation.
disciplined-research
by terraphim
Phase 1 of disciplined development. Deep problem understanding before design. Maps existing systems, identifies constraints, surfaces risks, and produces a research document for human approval before proceeding.
quality-gate
by terraphim
Right-side-of-V verification/validation orchestration for a change or PR. Produces a single Quality Gate Report with evidence covering: code review, security audit, performance regression risk, requirements traceability, acceptance/UAT scenarios, and (when UI changes) visual regression testing. Use when preparing a PR for merge/release, doing a “ready?” check, or enforcing an engineering quality gate.
community-engagement
by terraphim
Open source community building and engagement. Welcoming contributors, managing discussions, writing release notes, and fostering a healthy project ecosystem.
acceptance-testing
by terraphim
Plan and (when feasible) implement or execute user acceptance tests (UAT) / end-to-end acceptance scenarios. Converts requirements or user stories into acceptance criteria, test cases, test data, and a sign-off checklist; suggests automation (Playwright/Cypress for web, golden/snapshot tests for CLIs/APIs). Use when validating user-visible behavior for a release, or mapping requirements to acceptance coverage.
local-knowledge
by terraphim
Leverage personal notes and documentation through Terraphim's role-based search. AI agents can search developer's local knowledge organized by domain (Rust, frontend, architecture) using the terraphim-agent REPL commands.
rust-performance
by terraphim
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
disciplined-validation
by terraphim
Phase 5 of disciplined development. Validates system against original requirements through system testing and user acceptance testing (UAT). Uses structured stakeholder interviews to gather sign-off and traces defects back to research or design phases.
architecture
by terraphim
System architecture design for Rust/WebAssembly projects. Creates ADRs, designs APIs, plans module structures, and documents architectural decisions. Never writes implementation code - focuses purely on design and documentation.
documentation
by terraphim
Technical documentation for Rust projects. Creates API docs, README files, architecture guides, and contributor documentation. Follows Rust documentation conventions with strict quality standards.