Orb login
OrbCode supercharges Claude Code with Semantic code search, Prompt Optimisation, Code Analytics, and Cost savings.
npx -y skills add MatterAIOrg/cludcode --skill orb-loginAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Authenticate with MatterAI. Use when the user needs to log in or when authentication is required.
SKILL.md
1.4 KB, 298 tokens by cl100k_base, as published. Nobody here has run it
OrbCode Login Flow
If the user passed --token <token> as arguments, skip directly to the Token Login section below.
Browser Login (Preferred)
Run the OrbCode authentication flow. This opens a browser for the user to log in:
node ${CLAUDE_PLUGIN_ROOT}/scripts/orb-cli.js login
If the command exits with code 0, login succeeded — confirm to the user.
After a successful login the CLI will also:
- Auto-start the local proxy if it isn't already running.
- Auto-start the codebase indexer for the current workspace in the background. The
semantic_code_searchMCP tool becomes available once the first batch of files has been embedded.
Token Login
Use this when:
- The user passed
--token <token>as arguments to this skill - The browser login above timed out or failed and the user provides a token
If the browser login failed:
- The auth URL is visible in the output above
- Tell the user to open that URL in their browser and complete the login
- Ask the user to copy the token shown on the auth page after login
Once you have the token (from args or from the user), run:
node ${CLAUDE_PLUGIN_ROOT}/scripts/orb-cli.js login --token '<token>'
Replace <token> with the actual token value.
Confirm success or relay any error to the user.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.