research
claudeMulti-phase research workflow for building cited, audited knowledge bases.
21 skills · 10 agents
Domain-driven build workflow: vision grounding, EventStorming, bounded-context mapping, and a dependency-ordered task backlog driven to done by TDD workers.
Plugin domain-driven from marketplace mtrense-skills in mtrense/skills. Commands read from the repo's manifest — today.
architecture-foundationFacilitate a Socratic session that defines a project's architectural foundation — the boundaries and guidelines every later task is built against — once vision.md, domain-model.md, and context-map.md exist. Opens the agenda with the domain model's still-open hotspots — the last gate where each must
context-mappingDraw the project's bounded contexts and the relationships between them, working from the aggregate clusters in domain-model.md — and place the domain model's external systems on the same map as external contexts (upstream models you don't own, where Conformist/ACL/Published Language earn their keep)
domain-modelRun a big-picture EventStorming session over the project vision and produce a single `domain-model.md` at the project root: a chronological domain-event timeline, the commands/actors that trigger them, policies and external systems, the aggregates that own consistency, and a hotspots list of unresol
dossierBuild or extend a dossier — the project's fact file on one subject: everything discoverable that is relevant to the job to be done, distilled into confidence-tagged, source-cited claims under dossiers/. The fact twin of an ADR (an ADR records a decision, an exemplar shows it in bytes, a dossier reco
exemplarBrainstorm or ingest a concrete exemplar — a sample config file, dataset, API payload, CLI transcript, UI mock, or similar artifact that pins a piece of the spec down in actual bytes. Trigger whenever the user wants to sketch, draft, brainstorm, or pin down a concrete example artifact — e.g. "let's
groundingFacilitate a Socratic vision session for a new project (or a major new direction) and produce a single tight `vision.md` at the project root. Asks one question at a time, reflects back what it heard, and drives toward shared understanding of purpose, users, the problem, what success looks like, and
showcaseAssess the domain-driven project's current progress and report what the human can already test or present — as demoable capabilities tied to vision outcomes, each with a concrete step-by-step walk-through. Read-only: synthesizes the `## Closing → ### Manual testing` records the landed (`done`) tasks
task-appendCapture one or more tasks into the domain-driven backlog as new `draft`s from human input of ANY quality — a polished spec or a half-formed brain-dump both welcome. Trigger whenever the user wants to record, capture, add, jot down, or "note for later" a task, idea, feature, or piece of work into the
task-cycleDrive ready `todo` tasks to `done`. Reads the dependency-respecting ready-set from the tasks.sh helper, claims each task (todo -> in progress), and delegates implementation to a task-worker subagent (strict TDD, verify, commit) — dispatched on the model tier the task's `complexity` frontmatter maps
task-refineRefine a draft task into a ready `todo`: assess it for spec completeness, domain-compliance (against its bounded context's ubiquitous language and relationships), implementation size, and complexity (an abstract low/medium/high reasoning-difficulty estimate persisted in frontmatter for later routing
task-statusRead-only progress report for the domain-driven backlog. Runs the bundled tasks.sh helper to print a board — counts per status, the ready-set (todo tasks whose dependencies are all done), and what is blocked on what — derived live from the task files' frontmatter, never by scanning their bodies. The
whats-nextAssess the project's vision, domain model, and context map against the current backlog state, surface the coverage gaps, and propose a prioritized list of next tasks to work on. Reads the domain artifacts directly and the backlog through the tasks.sh helper (frontmatter only — never scanning task bo
architecture-proposerRead-only seed worker for the architecture-foundation skill. Given the paths to a project's vision.md, domain-model.md, and context-map.md, proposes a FIRST-PASS architecture agenda: first the domain model's still-open hotspots (each cross-checked against the decision index so settled ones are dropp
boundary-proposerRead-only seed worker for the context-mapping skill. Given the paths to a project's domain-model.md and vision.md, proposes a FIRST-PASS bounded-context map: candidate contexts (each a cluster of aggregates/events with a one-line responsibility and its core ubiquitous-language terms), candidate EXTE
domain-seed-extractorRead-only seed worker for the domain-model skill. Given the path to a project's vision.md, reads it and returns a FIRST-PASS big-picture EventStorming proposal: candidate past-tense domain events, the commands/actors that plausibly trigger them, obvious external systems, candidate aggregates (consis
dossier-scoutRead-only sweep worker for the dossier skill. Given a subject, a human-confirmed relevance frame, and an approved source list (research-KB paths, repo-local files such as captures/specs/PDFs/vendor docs, and — only when the list sanctions it — the web), sweeps those sources and returns the distillat
exemplar-drafterRead-only seed worker for the exemplar skill. Given an intent (what artifact to exemplify, pinning what) and the project root, reads the relevant strategic artifacts — vision.md, domain-model.md, the target bounded context's file, the on-point architecture topic summaries / ADRs, and the existing ex
exemplar-scribeWrite-side worker for the exemplar skill's intake mode. Given the exemplar directory (the artifact already landed on disk) and the list of corrections the interview settled — each with an anchor (heading, element id/selector, quoted text, or file name) and the agreed new value — applies them to the
integratorIntegration worker for the task-cycle skill's parallel (multi-worker) mode. Given a base branch and a list of completed task branches (each built in its own git worktree by a task-worker), merges them onto the base ONE AT A TIME. On a clean merge the task is integrated; on a conflict it aborts that
task-analyzerRead-only assessment worker for the task-refine skill. Given one draft task file and the project root, reads the task plus its bounded context (bounded-contexts/), the domain-model.md, and the ADR index, and returns a structured assessment: spec completeness gaps, domain-compliance (does it fit a co
task-workerImplementation worker for the task-cycle skill. Given one task file (already claimed `in progress` by the orchestrator) and a working directory (the current checkout, or a dedicated git worktree), implements exactly that task using strict TDD where the change has testable behavior, verifies it, and
Multi-phase research workflow for building cited, audited knowledge bases.
21 skills · 10 agents
Design-system authoring workflow: reference-grounded Socratic foundation, themable token sets (light+dark), and pure HTML/CSS Tailwind component kitchen-sinks with accessibility and i18n baked in.
12 skills · 6 agents
Demo-driven, proof-driven build workflow: vision kickoff, demos as executable human checkpoints (a scenario plus an end-to-end check that alone turns them green), tasks in one flat dependency graph, decisions with explicit proof obligations, parallel TDD burn-down with grading and demo checks after merges, and a verified human test cycle.
7 skills · 9 agents
Authoring workflow for Synaptic interactive-learning tracks: grounded ingestion, prerequisite-DAG structuring, node/question drafting, gap auditing, and CLI integrity gating.
9 skills · 6 agents
Cross-workflow utilities: /commit, /pr, /audit-context, /deckset.
8 skills · 5 agents
Bootstraps and maintains an AI-consumable map of an existing codebase with per-module CODEBASE.md and derived CLAUDE.md rules.
5 skills · 6 agents
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
9 skills · 1 command · 8 agents
AI-supervised issue tracker for coding workflows
1 skill · 1 agent · hooks
MiniMax AI skills library for frontend, fullstack, Android, iOS, shader, GIF sticker, document, presentation, spreadsheet, and multimodal media workflows
18 skills
Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows. This plugin provides configuration guidance (LLM commit messages, project hooks, worktree paths), automatic activity tracking (🤖/💬 indicators in `wt list` showing active Claude sessions), and a `/wt-diff` pane showing each worktree's changes.
2 skills · hooks
GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.
72 skills · 72 commands · 64 agents · hooks
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