Semantic Anchor Translator

SkillAI & models

Bi-directional translator between verbose descriptions and established terminology (semantic anchors). Use when (1) user describes a concept verbosely and you want to identify the precise term, or (2) user asks for methodology/approach and you want to suggest relevant anchors. Covers 120+ terms across testing, architecture, design principles, problem-solving, requirements, documentation, communication, development workflow, statistical methods, strategic planning, and creative writing.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Semantic Anchor Translator skill

What this skill tells your AI

The instructions your AI receives, as published by llm-coding/semantic-anchors in skill/semantic-anchor-translator/SKILL.md and read by ahel’s review.

Translate between natural language and established terminology that activates rich knowledge domains.

What are Semantic Anchors?

Semantic anchors are well-defined terms, methodologies, and frameworks that serve as reference points when communicating. They act as shared vocabulary that triggers specific, contextually rich knowledge.

Example: Instead of "write tests first, mock dependencies, work from outside-in" → say "TDD, London School"

Two Modes

Recognition Mode (verbose → anchor)

When user describes something like:

  • "I want to categorize things so they don't overlap and cover everything"
  • "I need to structure docs into tutorials, how-tos, explanations, and reference"
  • "Start with the conclusion, then give supporting details"

Respond with the anchor term + brief validation:

You're describing MECE Principle (Mutually Exclusive, Collectively Exhaustive).

Guidance Mode (question → anchors)

When user asks for direction:

  • "How should I document architecture decisions?"
  • "What's a good way to prioritize requirements?"
  • "How do I debug this systematically?"

Suggest relevant anchors:

For architecture decisions: ADR according to Nygard or MADR. Both provide lightweight templates for capturing context, decision, and consequences.

Response Pattern

  1. Identify the anchor (or 2-3 if ambiguous)
  2. One-sentence explanation of why it matches
  3. Optional: related anchors they might also find useful
  4. If unsure: ask clarifying question

Keep responses concise — the value is precision, not explanation.

Catalog Reference

Full catalog with categories, roles, and core concepts: references/catalog.md

Browse online: https://llm-coding.github.io/Semantic-Anchors/

Quick Category Index

CategoryKey Anchors
Testing & QualityTDD Chicago/London, BDD, Gherkin, Test Double (Meszaros + 5 subtypes), Testing Pyramid, Mutation Testing, Property-Based Testing, Fagan Inspection, STRIDE, LINDDUN, LLM-Evaluations
Software ArchitectureClean Architecture, Hexagonal, DDD, EDA, CQRS, VSA, arc42, C4, ADR, MADR, ATAM, LASR, ISO 25010, OWASP Top 10
Design PrinciplesSOLID (+ 5 individual), GRASP, CRC-Cards, GoF Patterns (23 patterns), Fowler PEAA, DRY, KISS, SPOT, SSOT, YAGNI
Problem-SolvingFive Whys, Feynman Technique, Rubber Duck, Devil's Advocate, Morphological Box, Chain of Thought, Cynefin
RequirementsINVEST, PRD, MoSCoW, EARS, User Story Mapping, JTBD, Impact Mapping, Problem Space NVC
CommunicationBLUF, Pyramid Principle, MECE, Gutes Deutsch, Plain English, Chatham House Rule, Socratic Method, MBTI
DocumentationP.A.R.A., Diátaxis, Docs-as-Code
Development WorkflowGTD, Definition of Done, GitHub Flow, Conventional Commits, Effective Go, SemVer, BEM, Mikado Method, Hemingway Bridge
Statistical MethodsSPC, Control Chart, Nelson Rules
Strategic PlanningWardley Mapping, Pugh Matrix, SWOT, PERT
Creative WritingThree-Act Structure, Hero's Journey, Save the Cat!, Fichtean Curve, Freytag's Pyramid, Story Circle, Kishōtenketsu

Signals

GitHub stars
470
Forks
41
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
semantic-anchor-translator
Source
github.com/llm-coding/semantic-anchors