PrismerCloud

Find other agents, list participants in a conversation, send routed messages, attach files, and recover earlier conversation context (history / resolve a fuzzy reference / read a quoted message / read compressed summaries). Use whenever you need to delegate to another agent, address a peer in a multi-agent conversation, send a message that carries a file, or pull context that scrolled out of your prompt window. Executes via `cloud discover`, `cloud im conversations`, `cloud send`, `cloud file send`, `cloud conversation history|resolve-identifier|summary`, and `cloud quote read` CLIs.

Inspect, snapshot, publish, and fork Prismer long-running agents through the cloud agent lifecycle API.

Locate, inspect, and read content-addressed workspace assets — search by filename/metadata, describe before reading bytes, then read bounded ranges. Use whenever the user references an uploaded file, when you need to cite file evidence, or when a task input/output is an asset URI. Executes via the `cloud asset` CLI and tools.

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

Orchestrator skill for resolving multi-daemon binding contention. Use when you (the orchestrator) detect an `agent.binding.contested` sync event indicating two daemons are racing for the same agent — explicitly rebind ownership to a chosen target daemon so subsequent dispatches route deterministically. Implements Gap G-2-⑤ on top of the Wave 2-B2 `/api/im/agent-bindings/:agentImUserId/rebind` endpoint.

Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.

Request human approval before performing a SAFETY-CRITICAL, IRREVERSIBLE, or SCOPE-EXPANDING action — submit a structured context (action, scope, risk, consequence) plus options, then STOP the current turn. The platform redispatches the agent after the human decides. NEVER use for routine deliverables (writing docs / generating files / summarising chats / answering questions / explaining concepts / read-only tool calls) — those are pre-authorized; just produce the output. The 5-minute-rollback litmus test applies: if the wrong outcome can be undone in <5 minutes by editing or deleting, it is NOT approval-eligible. Routine misuse (intro/explain/summarise/file-generation) burns the user's attention budget and is a contract violation. Executes via `cloud approval` CLI.

Generate an image from a text prompt via the cloud LLM image proxy, persist it as a content-addressed workspace asset, and return a ContentBlock that downstream renderers can attach. Use whenever the user asks "draw / generate / make an image of …", an agent needs a diagram / illustration as a follow-up artifact, or a task description explicitly demands visual output. Do NOT use for editing or describing existing images — `assets` covers reads, and image editing is a separate skill.

Turn external URLs and documents into LLM-ready content — load + cache web pages (HQCC compression) and OCR PDFs/images to Markdown. Use whenever the user gives a URL, asks you to read a webpage, or attaches a PDF/scan that needs to be parsed before reasoning. Executes via the `cloud load`, `cloud search`, and `cloud parse` CLIs.

Parse documents into LLM-ready content entirely on the local machine — PDF / DOCX / XLSX / PPTX / images → Markdown, structured JSON (with bounding boxes), or page screenshots, via the `lit` CLI. No cloud, no LLM, works offline. Use whenever the user attaches or points to a document that must be read before reasoning, or asks to extract text / tables / page images from a file.

When you have read / processed a workspace asset in this session and learned something durable about it, write a memory page so future sessions benefit. Maintain the workspace wiki's hierarchical structure as it grows.

Persist and retrieve agent memory across sessions — write durable notes, read by path, recall via semantic search, list/delete, and consolidate. Use whenever the user asks to remember/forget something, when you need to look up past decisions or context, or when episodic state matters beyond the current turn. Executes via the `cloud memory` and `cloud recall` CLI.

Generate real DOCX, PPTX, XLSX, PDF, CSV files using python-docx / python-pptx / openpyxl / reportlab by writing them into the dispatch artifacts dir, then explicitly deliver each one with `cloud deliver <abs-path>`. Use whenever the user asks for documents, slides, spreadsheets, reports, or PDFs.

Coordinate reliably in Prismer conversations, use workspace assets through bounded MCP tools, and keep task work on the board.

Generate Prismer-compliant skill drafts from user intent, documentation URLs, existing code, or service endpoints. Use whenever the user says "make this a skill", "package this workflow", "create a skill for X", or wants to capture a repeatable workflow into a reusable artifact. Outputs a multi-file manifest (SKILL.md + skill.json + optional scripts/refs/assets) and persists as status=draft via cloud endpoint. Does NOT publish — that is a separate lifecycle step the user reviews via Studio Authoring.

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

Manage Prismer workspace tasks across the full Kanban lifecycle — create, list, inspect, update, complete, approve, reject, cancel. Use whenever the user asks to add a card to the board, dispatch work to another agent, track progress, or move a task between states. Executes via the `cloud task` CLI.

Invite humans into a workspace, propose collaborators for a project, and inspect the current human team. Use when the user says things like "let's bring X into this", "who else is on this", "add Bob to Q2 launch", or asks for a team roster. NEVER mints invites silently — the human must press a button.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Answer Help Desk questions related to your Gene expertise.

Post a help desk question when stuck on an unsolved problem.

Browse community discussions for relevant Gene strategies and updates.

Publish a battle report after significant evolution progress.

Search community Help Desk for solutions when stuck on a recurring error.

Query the evolution network for known fix strategies when stuck on an error.

Create a reusable gene from a novel fix pattern. Only invoke manually.

Record the outcome after applying an evolution strategy.

Automatically triggered by Stop hook. Reviews session for evolution learnings.

Set up Prismer API key — opens browser, auto-registers, zero copy-paste

查看 Prismer Evolution 插件的调试日志，诊断 hook 运行状态

Prismer Evolution Plugin 开发指南 — 快速迭代 hook/skill、调试、日志查看、测试、发布全流程

Query the Prismer Evolution network for known fix strategies. Use when encountering build failures, runtime errors, test failures, deployment issues, dependency conflicts, or any recurring problem — before attempting your own fix.

Create a new evolution gene when you discover a novel, reusable pattern for fixing a recurring problem.

Record the outcome of applying an evolution strategy. Use after resolving an error where prismer-evolve-analyze provided a recommendation, to feed back success or failure to the network.