algorithmic-art
Generate deterministic SVG algorithmic artwork. Invoke when the user asks for geometric,…
Launch and continue the Volcengine AI Research survey workflow for concept testing, audience design, questionnaire drafting, interview guide generation, execution confirmation, progress checks, and result queries. Use this skill when the user wants to create, revise, confirm,
$ npx -y skills add bytedance/agentkit-samples --skill byted-airesearch-survey --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/byted-airesearch-surveyContext preview
The summary Claude sees to decide when to auto-load this skill.
Launch and continue the Volcengine AI Research survey workflow for concept testing, audience design, questionnaire drafting, interview guide generation, execution confirmation, progress checks, and result queries. Use this skill when the user wants to create, revise, confirm,
name: byted-airesearch-survey
description: Launch and continue the Volcengine AI Research survey workflow for concept testing, audience design, questionnaire drafting, interview guide generation, execution confirmation, progress checks, and result queries. Use this skill when the user wants to create, revise, confirm, execute, or follow up on a real AI research survey task in ABCompass instead of doing generic brainstorming, copywriting, translation, summarization, or broad market discussion.
license: Apache-2.0
metadata: {"clawdbot":{"emoji":"🧪","homepage":"https://www.volcengine.com/","requires":{"bins":["python3"]},"os":["darwin","linux"]},"openclaw":{"emoji":"🧪","homepage":"https://www.volcengine.com/","requires":{"bins":["python3"]},"os":["darwin","linux"]},"moltbot":{"emoji":"🧪","homepage":"https://www.volcengine.com/","requires":{"bins":["python3"]},"os":["darwin","linux"]}}Use this skill to run a real conversational AI Research survey workflow backed by ABCompass.
Use this skill when the user wants to:
Do not use this skill when the user only wants:
For every valid workflow turn, run:
python3 scripts/send_survey_message.py --message "<user message>"
This wrapper is the only user-facing entrypoint in this repository. It manages session continuity, API key binding, and production-safe sync transport on top of the canonical `ai_research_message` tool logic.
1. Decide whether the request belongs to the AI Research survey workflow. 2. If the request is valid, call `scripts/send_survey_message.py` before replying. 3. Prefer backend `reply_markdown` as the user-facing answer. 4. Treat backend `presentation`, `next_actions`, `session_event`, and `capability_hints` as the rendering contract. 5. If the task is still running, report real progress only. Do not fabricate a finished report.
Read references only when needed:
First-time use requires an API key.
Preferred input methods:
If no API key is available, ask the user to create or view one at:
Then ask the user to provide the API key before calling the API. If the wrapper returns `AUTH_REQUIRED`, do not ask the user to repeat the research request. The pending request can continue directly after key binding.
| Category | Parameters | When to set | |----------|-----------|-------------| | Always pass | `--message` | Every call | | Pass when user provides | `--api-key`, `--session-id`, `--force-new-session`, `--research-method`, `--language` | User explicitly specifies these values. Note: `--api-key` is not persisted by the wrapper — the host must retain it in conversation context and pass it on every subsequent call, or guide the user to set the `BYTED_AI_RESEARCH_SURVEY_API_KEY` environment variable. | | Pass when host can confidently resolve | `--request-kind`, `--industry-hint`, `--normalized-message` | Host has enough context to classify intent or normalize industry. Read `references/industries.md` for mapping rules. | | Use from `next_actions` | All parameters in `tool_input` | When the previous response included `next_actions`, use the pre-built parameters directly. Do not modify or guess. | | Leave to defaults | `--source-channel`, `--response-mode`, `--app-id`, `--status-only` | Only set when you have a specific reason |
1. Never bypass `scripts/send_survey_message.py` by manually constructing HTTP requests, curl commands, or calling any API endpoint directly. This wrapper is the only interface to the backend — there are no alternative call paths, sub-agents, or other scripts to try. 2. Never expose API keys, request headers, environment-specific headers, environment variable names, curl commands, or internal request traces in user-facing replies. All debugging output is gated behind the wrapper's built-in redaction mechanism. 3. Never mention or distinguish between internal environments (such as "testing environment", "production environment", "pre-production", or any environment-specific terminology) in user-facing replies. Runtime profile differences are opaque implementation details. 4. Use backend `reply_markdown` verbatim as the user-facing answer. Do not compress, rephrase, summarize, or replace it. If `reply_markdown` is empty, use the fallback message from the response — do not invent content. 5. When the response contains `next_actions`, use them as the exclusive set of suggested next steps. Each action includes a pre-built `tool_input` with all necessary parameters. Do not invent actions outside this set. 6. Do not invent tool methods, parameters, or session lifecycle events beyond what the wrapper supports. 7. Do not force unsupported industries into backend execution. If the industry cannot be confidently mapped, return the unsupported-industry response. 8. For confirm, execute, progress, plan, and result queries, always call the wrapper to get the latest backend state. Never answer from memory or cached context. 9. Do not narrate internal tool steps (readi
欢迎来到 AgentKit 代码工坊(Samples)仓库! AgentKit 是火山引擎推出的企业级 AI Agent 开发平台,为开发者提供完整的 Agent 构建、部署和运维解决方案。平台通过标准化的开发工具链和云原生基础设施,显著降低复杂智能体应用的开发部署门槛。 本代码库包含了一系列示例和教程,帮助您理解、实现和集成 AgentKit 的各项功能到您的应用中。
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