How do I install the Registering Systems skill?

Run npx skillmds@latest add gitwalter/registering-systems in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Registering Systems skill do?

Precise skill for updating JSON registries, dependency graphs, and manifests. It is listed under AI & ML on SkillMD.

Is Registering Systems safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Registering Systems?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Registering Systems free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Registering Systems?

gitwalter (@gitwalter) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Registering Systems by gitwalter — Agent Skill

Name: Registering Systems
Rating: 4.2 (5 reviews)
Author: gitwalter

File contents

System Registration Skill

This skill provides the technical capabilities required to maintain the system's "metasystem" – the collection of JSON files that describe the project's structure and components.

When to Use

When a new agent, skill, or workflow is created.
To update the dependency graph after refactoring.
To synchronize the artifact catalog with the filesystem.
When performing bulk registration of newly discovered patterns or knowledge files.

Prerequisites

Python 3.10+
scripts/validation/update_index.py
scripts/validation/validate_readme_structure.py
Knowledge of the system's JSON schemas (DIDs, performatives, etc.).

Process

The following process outlines the steps for precise system registration.

1. Agent & Skill Registration

Identify: Extract agent_id, role, skills, and capabilities from the component's markdown file.
Update: Add the entry to agent-team-registry.json or skill-catalog.json following the existing schema.
Verify: Run a JSON validation check to ensure no syntax errors were introduced.

2. Dependency Graph Integration

Node Creation: Add a new node to dependency-graph.json with the correct type and path.
Edge Mapping: Identify and map the relationships (e.g., agent uses skill, skill depends on knowledge).
Refactoring: Periodically rebuild the graph to remove dead nodes or orphaned references.

3. Workflow Registration

Integration: Ensure new workflows are referenced in the repository-maintenance procedures.
Mapping: Link the workflow to the primary agent and skill it utilizes.

4. Manifest Synchronization

Action: Use update_index.py to rebuild the artifact cache.
Action: Use sync_manifest_versions.py to ensure version consistency.

Best Practices

Atomic Updates: Only update one registry file at a time to minimize risk of corruption.
Schema Compliance: Always adhere to the schema in the agent-team-registry.json and skill-catalog.json.
DIDs: Use the standard did:agent:{agent-id} format for all agent identifiers.
Traceability: All registration actions should be searchable and verifiable via the dependency graph.

---name: registering-systemsdescription: Precise skill for updating JSON registries, dependency graphs, and manifests.---# System Registration SkillThis skill provides the technical capabilities required to maintain the system's "metasystem" – the collection of JSON files that describe the project's structure and components.## When to Use- When a new agent, skill, or workflow is created.- To update the dependency graph after refactoring.- To synchronize the artifact catalog with the filesystem.- When performing bulk registration of newly discovered patterns or knowledge files.## Prerequisites- Python 3.10+- `scripts/validation/update_index.py`- `scripts/validation/validate_readme_structure.py`- Knowledge of the system's JSON schemas (DIDs, performatives, etc.).## ProcessThe following process outlines the steps for precise system registration.### 1. Agent & Skill Registration- **Identify**: Extract `agent_id`, `role`, `skills`, and `capabilities` from the component's markdown file.- **Update**: Add the entry to `agent-team-registry.json` or `skill-catalog.json` following the existing schema.- **Verify**: Run a JSON validation check to ensure no syntax errors were introduced.### 2. Dependency Graph Integration- **Node Creation**: Add a new node to `dependency-graph.json` with the correct `type` and `path`.- **Edge Mapping**: Identify and map the relationships (e.g., agent uses skill, skill depends on knowledge).- **Refactoring**: Periodically rebuild the graph to remove dead nodes or orphaned references.### 3. Workflow Registration- **Integration**: Ensure new workflows are referenced in the `repository-maintenance` procedures.- **Mapping**: Link the workflow to the primary agent and skill it utilizes.### 4. Manifest Synchronization- **Action**: Use `update_index.py` to rebuild the artifact cache.- **Action**: Use `sync_manifest_versions.py` to ensure version consistency.## Best Practices- **Atomic Updates**: Only update one registry file at a time to minimize risk of corruption.- **Schema Compliance**: Always adhere to the schema in the `agent-team-registry.json` and `skill-catalog.json`.- **DIDs**: Use the standard `did:agent:{agent-id}` format for all agent identifiers.- **Traceability**: All registration actions should be searchable and verifiable via the dependency graph.

Frequently asked questions

Registering Systems