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Test Omnigent’s setup, help, and terminal interactions by driving the real CLI in an isolated environment. Capture rendered screens and compare checks before and after a change to establish whether a reported interface problem was fixed.
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Update individual settings in an existing product counsel profile, such as risk thresholds, escalation contacts, launch review categories, or marketing claims rules. The guided process explains downstream effects, checks inconsistencies, and saves confirmed changes without repeating setup.
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Update an existing regulatory practice profile through guided, one-at-a-time changes. Adjust watched regulators, significance thresholds, policy references, feeds, or workflows while reviewing how each change affects related tasks and shared company settings.
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Set up product legal workflows through an interview about company context, review practices, and approval routes. Past launch reviews help establish which risks block release, while connector checks record which tracking and document services actually respond.
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Guide new legal clinic students through procedures and commands using the clinic’s uploaded handbook. Students practice client intake, document drafting, and research planning with fictional cases, then review verification habits and supervision requirements.
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Update one part of an existing privacy practice profile through a guided conversation. Change risk preferences, contract review positions, contacts, privacy assessment formats, or personal data request procedures, with an explanation of how the change affects later outputs.
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Adjust an existing litigation practice profile through a guided conversation. Update roles, risk thresholds, document styles, contacts, or workflow settings one change at a time, with an explanation of downstream effects and checks for inconsistent settings.
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Set up a privacy legal plugin through an interview and existing documents. Capture applicable regulations, data processing agreement positions, and privacy impact assessment formats in shared settings, with options to resume setup or recheck integrations.
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Update an existing university legal clinic profile through guided questions. Change jurisdiction, supervision, practice templates, semester settings, or output safeguards, with explanations of workflow effects and checks for inconsistent settings.
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Set up an intellectual property practice profile through an interview and shared documents. Capture relevant work areas, enforcement preferences, and approval arrangements for other plugin skills, then revise the setup or recheck external connections when needed.
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Set up a personal profile for legal study by collecting courses, exam dates, learning preferences, strengths, and weak areas. Add past exams, graded essays, and other materials to inform how the plugin supports future study sessions.
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Adjust an existing law student study profile through guided questions. Update classes, learning preferences, bar exam subjects, materials, or study routines one change at a time, with explanations of how related study features will respond.
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Update an existing AI governance profile through guided changes. Adjust risk posture, escalation contacts, registered use cases, vendor positions, or assessment formats, while checking downstream effects and inconsistencies before saving each change.
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Update an existing employment-law practice profile through guided questions. Adjust employee locations, risk preferences, contacts, hiring or termination review rules, and other settings while reviewing downstream effects, without repeating setup or editing configuration files by hand.
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Adjust an existing commercial contracts profile through a guided conversation. Update risk preferences, approvers, contract positions, or review formats one change at a time, with an explanation of how each update affects later work.
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Adjust an existing corporate legal practice profile through guided questions. Change risk preferences, contacts, review thresholds, active modules, or workspace paths, with an explanation of how each change affects related workflows.
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Set up an AI governance plugin through an interview and shared documents. It records organizational roles, policy commitments, assessment conventions, and vendor requirements in a configuration file that other governance skills use.
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Set up an employment legal practice profile through an interview and supplied documents. Record employee locations, hiring and termination review triggers, severance practices, and escalation contacts, then build a jurisdiction-specific table for routing issues to the appropriate reviewer.
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Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.
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Run inference on Fireworks AI — direct, through the Leanmcp AI Gateway proxy (aigateway.leanmcp.com) for observability, or via LiteLLM / the OpenAI SDK / raw HTTP. Covers the endpoint-and-key matrix for each route, serverless vs dedicated deployments and their cold starts, browsing and filtering the model catalogue, reasoning models that return content:null with the answer in reasoning_content, function calling, concurrency and load testing, and runner scripts where many models share one protocol with a --use-proxy toggle. Use this skill whenever the user mentions Fireworks, FIREWORKS_API_KEY, api.fireworks.ai, fireworks_ai/ model ids, accounts/fireworks/models/..., a Fireworks deployment id, the Leanmcp gateway or LEANMCP_API_KEY, app.leanmcp.com observability, or gpt-oss / kimi / glm / qwen / deepseek served on Fireworks; wants to route LLM calls through a proxy for logging or cost tracking; is debugging empty responses, 404s, scope errors, cold starts, or "the gateway isn't working"; wants to pick a Fireworks model with tool calling; or wants to sweep several models over one benchmark. Reach for it even on vague asks like "why is this model returning nothing" or "set up inference for these models" when Fireworks is in play.
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When the user wants to plan a product launch, execute launch channels, or create a launch checklist. Also use when the user mentions "product launch," "launch strategy," "product announcement," "launch channels," or "market launch." For GTM motion and positioning, use gtm-strategy. For cold start and first users, use cold-start-strategy. For Product Hunt day-of, use product-hunt-launch.
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When the user wants indie hacker or bootstrapping founder strategy—growth, channels, Build in Public, or solo founder tactics. Also use when the user mentions "indie hacker," "indie developer," "bootstrapping," "bootstrapped founder," "solo founder," "Build in Public," "scratch your own itch," "Micro-SaaS," "first 100 users," or "solo company." For cold start, use cold-start-strategy.
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Provides AWS CloudFormation patterns for Lambda functions, layers, API Gateway integration, event sources, cold start optimization, monitoring, logging, template validation, and deployment workflows. Use when creating Lambda functions with CloudFormation, configuring event sources, implementing cold start optimization, managing layers, integrating with API Gateway, and deploying Lambda infrastructure.
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Provides AWS Lambda integration patterns for TypeScript with cold start optimization. Use when creating or deploying TypeScript Lambda functions, choosing between NestJS framework and raw TypeScript approaches, optimizing cold starts, configuring API Gateway or ALB integration, or implementing serverless TypeScript applications. Triggers include "create lambda typescript", "deploy typescript lambda", "nestjs lambda aws", "raw typescript lambda", "aws lambda typescript performance".
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