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Save the current code state in a local Git commit before risky changes, then return to that checkpoint if needed. Useful for multi-file refactoring and trying another approach after an unsuccessful edit.
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Prepare a first reply to a customer inquiry by classifying the issue, confirming understanding, and requesting missing details. Use existing documentation for answers, acknowledge feature requests, or route cases that need human follow-up.
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Answer business questions about counts, trends, comparisons, or rankings using SQL, a language for querying tables. Validate the results, then present a concise answer, a small table, the executed query, and supporting checks.
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Create summaries, briefings, literature reviews, or comparisons from workspace files. Organize findings by topic, support claims with short quotations and file references, and produce a Markdown report with a list of cited sources.
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Use a starter template to learn how an agent skill is organized and outline its intended use, required inputs, steps, and output format. Replace the placeholder body with your own working instructions before relying on it.
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Verify edited code with relevant build commands, type checks, automated code checks, and targeted tests. Finds commands in project configuration, fixes reported problems, and repeats the same checks until they pass.
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Apply related edits across several files using a unified diff, a file describing code changes. Check the patch with Git before applying it, and rebuild rejected patches using the current file contents.
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Turn supplied content into three to five bullet points focused on the main takeaways. Use it when you need a short summary or a condensed version of material you want to understand quickly.
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Prepare coding tasks for delegation to an authorized agent’s AI command-line tool. Set up and synchronize the workspace, write precise change requests, then review returned changes and run relevant checks before reporting completion.
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Run AI coding command-line tools on behalf of worker agents using their prepared prompts and workspaces. Detect available tools, configure delegation, return results, and apply supported execution controls such as time budgets and permission settings.
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Prepare an existing OpenClaw setup for import as an AgentTeams managed Worker. Analyze tool dependencies, adapt role instructions and scheduled jobs, and build a ZIP package containing the configuration and custom image requirements.
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Look up current AgentTeams membership, Worker runtime state, and identity details when the conversation lacks them. The skill uses the agt command-line tool to confirm coordinator identities, team context, and room information without relying on old records.
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Transfer files between agents through MinIO, a shared file store. The skill guides uploading materials for Workers, downloading their outputs, and notifying them to sync so that local files reflect shared updates.
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Configure external APIs and existing MCP tool servers through Higress AI Gateway. The skill covers YAML-based setup, credential updates, Worker access permissions, and connection checks before making tools available to the Workers that need them.
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Identify whether a Matrix chat room is a request source or a task workspace, then create or reuse a project-specific task room. The skill also handles worker invitation details and preserves information about where requests originated.
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Keep Hermes Worker configuration and shared task files synchronized with MinIO, a central storage service. The skill covers immediate downloads, manual result uploads, and which configuration changes take effect on the next message or require a restart.
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Manage consumers, credentials, AI providers, and model routing in Higress AI Gateway through its Console API. The skill explains session authentication, access permissions, and how to update existing settings while preserving required version information.
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Manage human accounts in AgentTeams by adding users, assigning one of three permission levels, and choosing which agents they can contact. It also covers listing accounts, updating permissions, and removing access.
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Call tools on configured MCP servers, which connect agents to external services, through the mcporter CLI. Inspect available tools and their inputs, retrieve API information, and check connections before deciding how to proceed.
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Clarify responsibilities in a TeamHarness team, including planning, task execution, result acceptance, and runtime administration. Use the role boundaries to identify who owns each action and how participants should handle sensitive information.
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Handle standalone administration tasks on a Tuwunel Matrix server, including registering users, creating rooms, managing membership, and uploading files. It also covers sending files to an administrator and identifies mention and room-joining requirements that affect Workers.
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Retrieve shared reference files and send work in progress using local shared paths. The skill also guides missing-file checks and distinguishes manual file transfers from synchronization already handled by task acceptance and submission.
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Switch the Manager Agent's primary language model with a script that checks connectivity before saving configuration. You can also set how much context the model accepts and whether extended thinking is enabled.
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