Reviews a change through exactly one review lens (L1–L5) and reports prioritised findings; read-only. Use when a caller fans out a pre-PR review, one code-reviewer per lens (a full review is five dispatches, per meaningfy-code-review). Not for fixing code (implementer) or discussing findings.
Shapes an EPIC from human seeds and derives its clarity-gated PLAN (≥9/10) as an OpenSpec change, returning question rounds to the caller until no decision is open. Use when starting or refining an epic. Not for archiving or grooming living specs (spec-stewardship) or for writing code (implementer).
Implements one ready task of an OpenSpec change as tested production code, test-first. Use when a task in tasks.md is ready (PLAN gated ≥9/10, Gherkin written). Not for planning (epic-planner), reviewing (code-reviewer) or committing.
Write BDD Gherkin feature files and fabricate test data from a specification. Use to project a use case catalogue (Cockburn White/Blue) or turn acceptance criteria or an EPIC into business-language .feature scenarios — Scenario Outline with Examples, explicit edge cases, no implementation detail, traced back to use…
Standardise the application-repo Continuous Delivery side of Meaningfy systems — the deploy request and the release/image standard. Use to set up a CD/deploy workflow, release and push a versioned Docker image to a registry (recommended GHCR, tagged by semver + git sha), standardise or migrate the deploy trigger, or…
Pre-ingestion quality gate for specifications and documents before they drive implementation. Use to score a spec/EPIC against a 13-item checklist (6-criterion rubric, must reach ≥9/10), surfacing hidden assumptions and ungrounded claims. Trigger on "score this spec", "is this spec ready", "run the clarity gate"…
Build and evolve a living, representation-agnostic conceptual model for a product (programming) project — the domain's entities, attributes, relationships, and meaning — and choose how it is rendered. Use to model the domain, do conceptual data modelling in UML, run ontology-engineering at the concept level…
Produce the Decision Package — the paid keystone deliverable of a semantic/data consulting engagement's Proof of Value. Use to write the recommendation, the in/out scope, the sequenced (pilot → scale) roadmap, the buy/build/defer decisions, and the ready-to-contract execution brief that hands off to the…
Shape an EPIC from human seeds, then derive its clarity-gated PLAN. Specifications-first, Shape-Up style — the EPIC is the work shape (appetite, problem, solution outline, key decisions, rabbit-holes, no-gos) and IS the OpenSpec proposal; the PLAN is the derived executable breakdown (design + tasks) scored by the…
A lightweight fixed-cost scoping / estimation discipline that de-risks fixed-cost bids — a CHECKLIST + METHOD, not a heavy model. Produces a work breakdown plus PERT-weighted effort estimates, uncertainty ranges, assumptions & exclusions, and contingency, feeding the SoW scope boundary. PERT (three-point: optimistic /…
Use when turning rough input into a clear, concise, persuasive executive message or analysis: a board paper, proposal, client recommendation, email or Slack note, spoken narrative, slide outline, or a strategic problem to be solved. Triggers include "structure this", "make this persuasive", "write this up for a board…
Apply explanatory craft so that Explanation-quadrant prose reads clearly — one controlling metaphor, a concrete example beside every abstract claim, self-answered question pivots, short declaratives, coin-and-explain, a confident grounded close. Use when writing or improving an explainer, a blog-style or internal…
Apply agentic guardrails wherever an LLM agent acts — decision bounds, output validation, prompt-injection defence, and subagent dispatch (when to spawn, the brief, the model, the report back, the second check). Guardrails judge agent BEHAVIOUR; clarity-gate, tests and review judge CONTENT. Trigger on "add…
The operational LinkML craft, downstream of an existing model or spec — never greenfield. Use to derive a LinkML schema from a UML model, a text spec, a model2owl output, or another existing model; to author/refine it (reusable slots, the URI-as-datatype artifice, implicit classuri/sloturi, enums, schema-level…
The Meaningfy pre-PR review — two modes (standalone = five lens subagents fanned out in parallel, one lens each; interactive main-thread), a methodical catalogue-complete review procedure (traverse the whole cosmic-python region a lens owns, not a fixed subset), and a fit-and-refactoring investigation, reported by…
Meaningfy git and GitHub conventions — Conventional Commits (imperative, no trailing punctuation), branch naming, rebase/merge etiquette, the pull-request workflow, free-tier GitHub constraints, and dev-environment hygiene. Use when committing, branching, opening or maintaining a PR, or setting up a development…
The shared, representation-agnostic modelling craft reused across the modelling skills — naming discipline, modelling anti-patterns, and the guardrails a modeller follows while working, plus the two load-bearing principles (decouple attributes into reusable first-class properties; identify everything by a stable URI…
Scaffold or modernise a Meaningfy-standard repo and PROJECT the Meaningfy spine into it — a top-level package (no src/), Poetry + dedicated root tool configs, cosmic-python layering with import-linter guardrails, TDD+BDD tests, an AGENTS.md-canonical agentic setup (AGENTS.md is canonical; CLAUDE.md is a thin pointer…
Produce the proposal + Statement of Work (SoW) that frames the paid Proof of Value offer — with an explicit in/out scope boundary, priced as a fixed frame. It frames the Proof of Value offer for a qualified need (qualification is sales-qualification), prices it (delegating the numbers to estimation), and writes the…
Use when someone running or building a semantic-technologies / data consulting business (ontologies, knowledge graphs, data governance, MDM, semantic interoperability) is thinking through a business, service-design, pricing, partnering, engagement-process, client-situation (B2B sale or B2G tender), negotiation, or…
Steward the living specification spine after an EPIC is authored — the EPIC↔change lifecycle, archiving completed changes, grooming the durable specs/ store, and keeping the orientation index in sync. Use when finishing/archiving a change, merging spec deltas into the truth, grooming or reviewing the living specs, or…
Produce clear documentation, explanations, summaries, and docstrings — AsciiDoc/Antora or Markdown — with a lightweight clarity check. Use to write or improve project docs, explain how a module works, summarise an area, or add docstrings. Trigger on "document this", "write docs/README", "explain how X works", "add…
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GPL-3.0
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