Build the project's shared language and bounded contexts before writing code, so names stay consistent and the agent stops paraphrasing domain concepts. Produces a CONTEXT.md glossary and decision records. Use at the start of a project or feature, or when the codebase and the people describing it speak different languages.
npx skills add https://github.com/rohitg00/pro-workflow --skill domain-modeling
Most misbuilds start as a language gap: the agent is dropped into a project
and left to infer the jargon, so it uses twenty words where the domain has
one. A shared language closes the gap. When code, conversation, and the model
all draw from the same vocabulary, names line up, navigation gets cheaper, and
the model spends fewer tokens reasoning because it has a tighter language to
reason in.
words, list the nouns and verbs that carry domain meaning - the concepts a
newcomer would have to ask about. Prefer the user's word over a synonym you
like better.
not a dictionary definition. If two terms blur together, force the
distinction or collapse them - ambiguity here becomes inconsistent names in
code.
different parts of the system, that is a boundary. Name each context and
note which terms belong to it. A term that means two things is two terms.
questioned later, write a short decision record: context, choice,
alternatives rejected, why.
CONTEXT.md - the shared-language glossary. One term per line:term - what it means in this project. Grouped by bounded context when
there is more than one. Point every future session at this file. On re-run,
add new terms and update definitions that changed; do not rewrite the file
wholesale.
short enough to read in fifteen seconds.
docs/decisions/NNNN-slug.md for the contestedmodeling calls only. Read the directory first and number from the highest
existing record so two records never collide. Skip the obvious ones.
not framed on a wall.
rename it.
nothing is worse than none. Prune terms that fall out of use.
Run this before plan-interrogate on a new area, or let plan-interrogate
call back here when it hits terms it cannot pin. The CONTEXT.md this produces
is the same file plan-interrogate emits - one shared-language artifact, two
ways in.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take rohitg00/domain-modeling from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.