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View technical comparison →CamberCloud, Inc. v2.0.0
build and run data agents
From the developer
Not specified in the available declarations: capabilities, limitations, pricing & account requirements.
List all Camber agents available to my account
Developer declarations; not independently tested. Listing last checked Nov 15, 2026. Package observed Nov 15, 2026.
From the marketplace listing
Camber lets users manage accounts and workspaces, discover or create agents, and launch and monitor agent runs directly within ChatGPT.
Language: English · Automatically detected from descriptions.
· 1 observation
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--- name: context-mirror description: Create, update, pull, and push Camber Context Mirror agents from local coding workspaces. --- # Context Mirror Use this skill when the user asks to: - mirror a local workspace into a Camber agent - refresh an existing mirrored Camber agent - migrate local assistant skills into Camber skills - pull a Camber agent mirror back to local - push local mirror changes back to Camber ## Resource map Read only the resources needed for the current branch: | Resource | Use when | |---|---| | `resources/create-update.md` | Creating or updating a workspace-mirroring agent | | `resources/layout.md` | Explaining or validating mirror folder layout | | `resources/pull-push.md` | Pulling an agent locally, or init -> export chat -> edit `sync.yaml` -> push | | `resources/claude-code-chat-export.md` | Exporting Claude Code chat into the mirror | | `resources/cursor-chat-export.md` | Exporting Cursor chat into the mirror | | `resources/troubleshooting.md` | Debugging common mirror failures | ## Core rules - Verify `$ camber me` before relying on the CLI. - Inspect before writing: README/docs, project tree, manifests, entrypoints, configs, tests, commands, and local assistant context. - If the workspace uses the Snowflake CLI, `instruction.md` must tell the agent to use `camber.snowflake` instead — never the local CLI. - Stop for user approval before any write action: context init, pull, or push (and `$ camber agent update` when refreshing an existing agent). - Collect every confirmation through the client's interactive question tool — `AskQuestion` in Cursor, `AskUserQuestion` in Claude Code. Do not substitute plain chat text. **Wait for the user's answer before every next step** — an unanswered question is a hard stop. - If the requested agent already exists, update it instead of creating a duplicate. For a **new** mirror, do **not** call `agents_create` or `$ camber agent create` first — leave `agent:` blank in `.camber/sync.yaml` and let the first `$ camber agent push` create the remote agent. - `README.md` is one source of evidence, not the whole workspace context. - Avoid `.git`, `.env*`, and virtualenvs unless the user explicitly approves. - Project files are mirror files only. Never add project files to Knowledge Base. - Skills become Camber skill records. Never add `SKILL.md` or skill scripts to Knowledge Base. - Skill `references/` files are the only skill files indexed as Knowledge Base. - The current chat is required mirror context when syncing: export after `context init`, then wire paths through `.camber/sync.yaml` before push. - Never push skills, project files, chat, instruction, or other mirror sections with separate CLI commands (`skill compile`, `context add`, `stash cp`). Use `context init` -> export chat (if required) -> edit `sync.yaml` -> `push`. - During a mirror operation, only write under `.camber/`: `sync.yaml` (from `$ camber agent context init` plus placeholder edits), `instruction.md`, and `chats/`. Use **relative paths** in `sync.yaml` (for example `.camber/instruction.md`, `.camber/chats`). Add `.camber/**` to top-level `exclude` so staging files are not uploaded as project files. Remove `.camber/instruction.md` and `.camber/chats/` after a successful `push`; keep `sync.yaml`. - Prefer `$ camber agent context init` over hand-writing `.camber/sync.yaml`. Run `context init` and `push` from the project root (fresh mirror) or from the pulled mirror root. ## Fast path 1. Verify auth: ```bash $ camber me ``` 2. Inspect workspace and assistant context. 3. List existing agents and decide create vs update. 4. Ask the user to confirm the plan through the client's interactive question prompts — never plain chat text. **Wait for answers before continuing.** 5. Initialize the local sync config, draft `instruction.md`, export chat if needed, fill `.camber/sync.yaml` (leave `agent:` blank on first push), then push. For an existing agent only, set `agent:` to the known id or run
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Package observed Nov 15, 2026.
plugin_asdk_app_6a7eac0f20c081918f11ac22f08632d8
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