aliyun-openclaw-setup
Use when installing or configuring OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.
What this skill does
# OpenClaw Setup Deploy OpenClaw on Linux, enable DingTalk, Feishu, Discord, or other documented channels, and verify gateway health. ## Use This Workflow Run this sequence in order: 1. Prepare Linux runtime and install OpenClaw. 2. Discover channels from official docs (required for new channel requests). 3. Install and verify channel integrations. 4. Create/merge `~/.openclaw/openclaw.json`. 5. Configure and start gateway service. 6. Run health checks and collect logs. ## Prerequisites - SSH access to target Linux host (Debian/Ubuntu preferred). - DingTalk enterprise app credentials (`AppKey`, `AppSecret`) for the official connector, or Feishu app credentials (`App ID`, `App Secret`), or Discord bot token. - DashScope API key. ## Step 1: Prepare Runtime ```bash ssh root@<server> curl -fsSL https://deb.nodesource.com/setup_20.x | bash - apt-get install -y nodejs node --version npm --version ``` ## Step 2: Install OpenClaw and Channel Integrations ```bash npm install -g openclaw@latest openclaw --version # DingTalk official connector openclaw plugins install @dingtalk-real-ai/dingtalk-connector --pin # or install from official GitHub repo openclaw plugins install https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector.git openclaw plugins list | grep dingtalk # Feishu channel openclaw plugins install @openclaw/feishu openclaw plugins list | grep feishu # Discord channel (built-in, no extra plugin needed) # Configure token in Step 3 and start gateway in Step 4 ``` If upgrading from old DingTalk plugins, uninstall legacy plugin IDs first and keep only the official connector in `plugins.allow`. ## Step 3: Auto-Discover Additional Channels from Official Docs When user asks for any extra channel beyond current setup, do this first: 1. Open `https://docs.openclaw.ai/channels/index`. 2. Identify requested channel pages from the "Supported channels" list. 3. Open each channel page and extract: - Whether it is built-in or plugin-based. - Exact install command (do not guess package names). - Required credentials/tokens and config keys. 4. Apply installation/configuration on host. 5. Record channel-specific notes into `~/.openclaw/openclaw.json`. Use the exact workflow in [references/channel-discovery.md](references/channel-discovery.md). ## Step 4: Configure `openclaw.json` Create or update `~/.openclaw/openclaw.json` with: - `models.providers.bailian` for DashScope endpoint and models. - `agents.defaults.model.primary` in `provider/model` format, default to `bailian/glm-5`. - `models.providers.bailian.models` ordered as: 1) `qwen3-plus` 2) `glm-5` 3) `minimax-m2.5` 4) `kimi-k2.5` - `agents.defaults.model.fallbacks` ordered as: 1) `bailian/qwen3-plus` 2) `bailian/minimax-m2.5` 3) `bailian/kimi-k2.5` - `channels.dingtalk-connector`, `channels.feishu`, or `channels.discord` credentials and policy. - `plugins.allow` including installed channel plugins. Important: - Agent-level model config at `~/.openclaw/agents/main/agent/models.json` can override `~/.openclaw/openclaw.json`. - Keep provider definitions aligned in both files when defaults appear not to take effect. - Protocol must match endpoint: - `api: openai-completions` -> use `https://dashscope.aliyuncs.com/compatible-mode/v1` - `api: openai-responses` -> use `https://dashscope.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1` Use the full template in [references/config.md](references/config.md). Use DingTalk field mapping in [references/dingtalk-setup.md](references/dingtalk-setup.md). Use Feishu setup and field mapping in [references/feishu-setup.md](references/feishu-setup.md). Use Discord setup and field mapping in [references/discord-setup.md](references/discord-setup.md). Use channel discovery workflow in [references/channel-discovery.md](references/channel-discovery.md). ## Step 5: Install and Start Gateway ```bash openclaw gateway install openclaw gateway start openclaw gateway status ``` If running with user-level systemd, reload after config changes: ```bash systemctl --user import-environment DASHSCOPE_API_KEY systemctl --user daemon-reload systemctl --user restart openclaw-gateway ``` ## Step 6: Verify and Troubleshoot ```bash openclaw doctor openclaw gateway status openclaw gateway logs -f ``` Common failures: - Plugin not loaded: re-run plugin install and check `plugins.allow`. - Unknown model: check `agents.defaults.model.primary` format (`provider/model-id`). - API key error: verify `models.providers.bailian.apiKey` and `DASHSCOPE_API_KEY` imported in systemd. - Config changed but runtime model unchanged: check and update `~/.openclaw/agents/main/agent/models.json`. - Empty payload / unexpected fallback: verify protocol-endpoint pair (`openai-completions` vs `openai-responses`) and clear stale session if needed. - DingTalk no response: use `openclaw logs --follow` and check `gateway/channels/dingtalk-connector` lines for stream reconnect or credential issues. - Official connector installed but old probes inconsistent: rely on runtime logs and real message send/receive as source of truth. - Feishu no response: check event subscription mode is WebSocket and gateway is running. - Discord no response: verify bot intents, token, and first-DM pairing approval. ## Security Notes - Do not hardcode real secrets in repository files. - Keep production keys in server-local configs or secret managers. - Redact logs before sharing in tickets or chat. ## Validation ```bash mkdir -p output/aliyun-openclaw-setup echo "validation_placeholder" > output/aliyun-openclaw-setup/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-openclaw-setup/validate.txt` is generated. ## Output And Evidence - Save artifacts, command outputs, and API response summaries under `output/aliyun-openclaw-setup/`. - Include key parameters (region/resource id/time range) in evidence files for reproducibility. ## Workflow 1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. 2) Run one minimal read-only query first to verify connectivity and permissions. 3) Execute the target operation with explicit parameters and bounded scope. 4) Verify results and save output/evidence files.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.