{"schema_version":"2026-06-16","title":"QVeris Agent Skill Catalog","description":"Agent-readable registry for QVeris skills. Agents can read this catalog, select a skill, and install or run it after user approval.","generated_at":"2026-07-07T15:42:28.898Z","urls":{"catalog":"https://qveris.ai/skills/catalog.json","human_page":"https://qveris.ai/skills"},"agent_usage":{"purpose":"Help agents discover installable skills by task and understand install commands, prompts, cases, and QVeris API usage.","install_policy":"Require explicit user confirmation before installation, configuration writes, or local environment changes.","recommended_flow":["Read catalog","Select a skill by task","Read manifest or agent.md","Ask the user to confirm installation","Install and run a starter prompt"]},"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."},{"id":"travel","label":"Travel and places","description":"Real place data, reviews, ratings, and recommendation workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."},{"id":"agent-foundation","label":"Agent foundation","description":"Core QVeris access for OpenClaw, Cursor, Claude Code, CLI, and MCP users."}],"skills":[{"schema_version":"2026-06-16","id":"qveris-official","name":"qveris-official","title":"QVeris official","description":"The core skill that lets any supported agent discover, inspect, and call real-world capabilities.","overview":"Use this when the user wants a general QVeris connector for OpenClaw, Cursor, Claude Code, CLI, or MCP. It is the best starting point before installing narrower domain workflows.","official":true,"tags":["Core","Discover","Inspect","Call"],"scenarios":[{"id":"agent-foundation","label":"Agent foundation","description":"Core QVeris access for OpenClaw, Cursor, Claude Code, CLI, and MCP users."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"},{"id":"mcp","label":"MCP"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/qveris-official","manifest":"https://qveris.ai/skills/qveris-official/manifest.json","agentGuide":"https://qveris.ai/skills/qveris-official/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-official","clawhub":"https://clawhub.ai/linfangw/qveris-official"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"qveris-official","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-official","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-official"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install in OpenClaw","command":"openclaw skills install qveris-official"},{"platform":"cli","platform_label":"CLI","label":"Install QVeris CLI","command":"npm install -g @qverisai/cli"}]},"prompts":[{"id":"weather-demo","title":"First capability call","description":"A small end-to-end request that proves discover, inspect, and call work.","prompt":"Discover weather capabilities, inspect the best candidate, and get the current weather in Tokyo. Explain which capability you used and why."},{"id":"agent-routing","title":"Capability routing test","description":"Ask the agent to find the right provider instead of naming an API manually.","prompt":"Find a reliable capability for real-time stock quotes, inspect the top options, then call one for AAPL. Include success rate, latency, and estimated cost if available."}],"cases":[{"slug":"qveris-skill-for-openclaw","title":"QVeris skill for OpenClaw","description":"How to add QVeris as a reusable capability layer inside OpenClaw.","source_label":"Setup article","url":"https://qveris.ai/blog/qveris-skill-for-openclaw"},{"slug":"qveris-in-cursor","title":"Use QVeris in Cursor","description":"A step-by-step path for coding agents that need live tools and data.","source_label":"Cursor guide","url":"https://qveris.ai/blog/qveris-in-cursor"},{"slug":"qveris-cli","title":"QVeris CLI workflow","description":"Use QVeris as a subprocess-friendly capability interface.","source_label":"CLI guide","url":"https://qveris.ai/blog/qveris-cli"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Natural-language discovery","purpose":"Find the right real-world capability without manually choosing an API vendor.","sources":["QVeris capability index"],"sample_query":"real-time weather API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Capability inspection","purpose":"Read parameters, examples, quality signals, latency, and billing rules before execution.","sources":["Capability metadata","Provider quality signals"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Unified execution","purpose":"Execute the chosen capability and return structured results with auditable usage.","sources":["QVeris execution runtime"]}],"usage_estimate":{"title":"Core capability routing","summary":"Installation and catalog discovery are free. Discover and Inspect do not consume credits; only successful Call execution follows the selected provider billing rule.","typical_calls":"1-3","estimated_credits":"1-20 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Use Inspect to view the exact billing_rule before calling. Call responses include pre-settlement billing when available, and final charges are auditable in usage_history and credits_ledger."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"stock-copilot-pro","name":"stock-copilot-pro","title":"Stock copilot pro","description":"A finance workflow for quotes, fundamentals, filings, earnings context, and analyst-style summaries.","overview":"Use this skill when the user wants an agent that can research listed companies with live market data and source-backed context instead of relying on static model memory.","official":true,"tags":["Finance","Stocks","Filings","Research"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/stock-copilot-pro","manifest":"https://qveris.ai/skills/stock-copilot-pro/manifest.json","agentGuide":"https://qveris.ai/skills/stock-copilot-pro/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/stock-copilot-pro"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"stock-copilot-pro","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/stock-copilot-pro","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/stock-copilot-pro"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install stock-copilot-pro"}]},"prompts":[{"id":"single-stock","title":"Single stock memo","description":"Generate a source-backed research snapshot for one ticker.","prompt":"Analyze AAPL using live market data, recent fundamentals, valuation context, and the latest relevant filings or news. Separate facts from interpretation and cite which QVeris capabilities were called."},{"id":"compare-stocks","title":"Compare two tickers","description":"Compare market data and company fundamentals in one agent workflow.","prompt":"Compare NVDA and AMD across price action, revenue growth, margins, valuation, recent news, and key risks. Use QVeris to discover and call the required finance capabilities."},{"id":"daily-watchlist","title":"Daily watchlist brief","description":"Turn a watchlist into a repeatable daily report.","prompt":"Create a daily watchlist brief for AAPL, NVDA, MSFT, and TSLA. For each ticker, identify what changed, the strongest data point, and what to watch next."}],"cases":[{"slug":"qveris-fmp-finance","title":"Use FMP with QVeris","description":"Turn structured financial data into callable agent capabilities.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-fmp-finance"},{"slug":"openclaw-a-shares-finance-assistant","title":"OpenClaw A-share finance assistant","description":"A practical workflow for always-on market monitoring.","source_label":"Tutorial","url":"https://qveris.ai/blog/openclaw-a-shares-finance-assistant"},{"slug":"qveris-twelve-data","title":"Twelve Data market capabilities","description":"Add market data coverage for agent research tasks.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-twelve-data"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find finance data capabilities","purpose":"Search for quote, filings, financial statement, market data, or analyst data capabilities.","sources":["FMP","Twelve Data","financial data providers"],"sample_query":"real-time stock quote and financial statements API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Check parameters and quality","purpose":"Confirm ticker parameters, coverage, latency, success rate, and billing rule before the agent calls a provider.","sources":["Capability schemas","Provider metrics"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Execute market data calls","purpose":"Call selected finance capabilities and compose results into an analyst-style memo.","sources":["FMP","Twelve Data"]}],"usage_estimate":{"title":"Finance research workflow","summary":"A typical stock memo calls several market, fundamentals, filings, or news capabilities after free discovery and inspection.","typical_calls":"3-8","estimated_credits":"3-80 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"The range depends on provider billing rules and how many tickers, filings, or news sources the agent calls."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"chairman-daily-report","name":"chairman-daily-report","title":"Chairman daily report","description":"A daily briefing workflow that turns business metrics, market changes, and external signals into one report.","overview":"Use this skill when leadership needs a repeatable daily report instead of scattered links, screenshots, and manual summaries.","official":true,"tags":["Reports","Operations","Daily","Monitoring"],"scenarios":[{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."},{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/chairman-daily-report","manifest":"https://qveris.ai/skills/chairman-daily-report/manifest.json","agentGuide":"https://qveris.ai/skills/chairman-daily-report/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/chairman-daily-report"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"chairman-daily-report","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/chairman-daily-report","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/chairman-daily-report"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install chairman-daily-report"}]},"prompts":[{"id":"daily-exec-report","title":"Executive daily brief","description":"Combine internal context with market and public signals.","prompt":"Create a daily executive brief for our company. Include market changes, competitor updates, content platform signals, and the three most important decisions leadership should review."},{"id":"market-monitor","title":"Market monitor","description":"Track the outside world and summarize what changed.","prompt":"Monitor today's market, news, and social platform signals for the AI agent infrastructure sector. Summarize what changed, what matters, and which QVeris capabilities were used."}],"cases":[{"slug":"agent-action-long-term","title":"Agent action over time","description":"Why recurring agent workflows need reliable external capabilities.","source_label":"Perspective","url":"https://qveris.ai/blog/agent-action-long-term"},{"slug":"qveris-tikhub-content-platform-signals","title":"TikHub content platform signals","description":"Use public platform signals as part of operational reporting.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-tikhub-content-platform-signals"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find reporting inputs","purpose":"Search for market data, news, social signals, and other report-ready data sources.","sources":["News APIs","market data providers","content platform signals"],"sample_query":"company news and market signal API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Validate report sources","purpose":"Check each source before it becomes part of a recurring leadership report.","sources":["Provider schemas","quality signals"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Generate source-backed sections","purpose":"Execute selected capabilities and structure outputs into a concise daily brief.","sources":["QVeris execution runtime"]}],"usage_estimate":{"title":"Daily report workflow","summary":"Recurring reports usually combine multiple public data sources, so the paid portion scales with the number of sections and providers called.","typical_calls":"4-12","estimated_credits":"4-120 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Keep scheduled reports bounded by specifying the exact tickers, competitors, or signal sources to call."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"exchange-rate","name":"exchange-rate","title":"Exchange rate","description":"Currency conversion, FX monitoring, and historical exchange-rate lookup for agents.","overview":"Use this skill when the agent needs reliable conversion and FX context inside travel, ecommerce, finance, or reporting workflows.","official":true,"tags":["Forex","Conversion","Rates","Monitoring"],"scenarios":[{"id":"finance","label":"Finance analysis","description":"Market data, filings, fundamentals, exchange rates, and analyst workflows."},{"id":"travel","label":"Travel and places","description":"Real place data, reviews, ratings, and recommendation workflows."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"},{"id":"cli","label":"CLI"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/exchange-rate","manifest":"https://qveris.ai/skills/exchange-rate/manifest.json","agentGuide":"https://qveris.ai/skills/exchange-rate/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/exchange-rate"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"exchange-rate","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/exchange-rate","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/exchange-rate"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install exchange-rate"}]},"prompts":[{"id":"trip-budget","title":"Travel budget conversion","description":"Make exchange-rate lookup part of a travel planning workflow.","prompt":"Convert a 250,000 JPY Tokyo hotel budget into USD and CNY using current rates. Include the timestamp or provider context if available."},{"id":"fx-monitor","title":"FX movement monitor","description":"Track rate movements for reporting or treasury workflows.","prompt":"Check USD/CNY, EUR/USD, and USD/JPY. Summarize today's movement and call out which pair changed the most."}],"cases":[{"slug":"qveris-tripadvisor-travel","title":"Travel planning with real place data","description":"Pair travel recommendations with reliable price conversion.","source_label":"Travel case","url":"https://qveris.ai/blog/qveris-tripadvisor-travel"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find exchange-rate providers","purpose":"Search for current, historical, or conversion-oriented FX capabilities.","sources":["FX providers"],"sample_query":"currency exchange rate conversion API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect currency coverage","purpose":"Check supported currencies, parameter shape, precision, and billing rule.","sources":["Capability schemas"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Convert or monitor rates","purpose":"Execute the selected FX capability and return structured rate data.","sources":["FX providers"]}],"usage_estimate":{"title":"FX lookup workflow","summary":"Currency lookup is usually a small workflow: free discovery and inspection, then one or a few exchange-rate calls.","typical_calls":"1-3","estimated_credits":"1-15 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Historical ranges, many currency pairs, or repeated monitoring can increase the number of paid calls."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]},{"schema_version":"2026-06-16","id":"x-founder-operations","name":"x-founder-operations","title":"Founder content operations","description":"Research topics, monitor platform signals, and turn social data into founder-ready content workflows.","overview":"Use this when founders or growth teams need an agent that can monitor content platforms, analyze public signals, and help plan posts with evidence instead of guesses.","official":true,"tags":["Social","Content","TikHub","Growth"],"scenarios":[{"id":"content","label":"Content signals","description":"Social platform monitoring, creator research, growth signals, and competitor tracking."},{"id":"operations","label":"Business operations","description":"Daily briefings, market monitoring, and structured team reports."}],"platforms":[{"id":"openclaw","label":"OpenClaw"},{"id":"cursor","label":"Cursor"},{"id":"claude-code","label":"Claude Code"}],"urls":{"catalog":"https://qveris.ai/skills/catalog.json","skill":"https://qveris.ai/skills/x-founder-operations","manifest":"https://qveris.ai/skills/x-founder-operations/manifest.json","agentGuide":"https://qveris.ai/skills/x-founder-operations/agent.md","github":"https://github.com/QVerisAI/open-qveris-skills/tree/main/x-founder-operations"},"installation":{"requires_user_confirmation":true,"safety_note":"Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.","source_repository":{"owner":"QVerisAI","name":"open-qveris-skills","url":"https://github.com/QVerisAI/open-qveris-skills","skill_path":"x-founder-operations","skill_url":"https://github.com/QVerisAI/open-qveris-skills/tree/main/x-founder-operations","clone_command":"git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/x-founder-operations"},"commands":[{"platform":"openclaw","platform_label":"OpenClaw","label":"Install skill","command":"openclaw skills install x-founder-operations"}]},"prompts":[{"id":"platform-signal-report","title":"Platform signal report","description":"Use public content-platform signals to explain what is gaining traction.","prompt":"Research how AI agent infrastructure is being discussed across short-video and social platforms. Find evidence, summarize recurring narratives, and propose three founder posts grounded in the data."},{"id":"competitor-content","title":"Competitor content scan","description":"Turn competitor activity into actionable content planning.","prompt":"Scan public content signals for three competitors in our category. Identify their strongest narratives, most repeated user objections, and opportunities for our next post."}],"cases":[{"slug":"qveris-tikhub-content-platform-signals","title":"TikHub content platform signals","description":"Understand platform momentum across short video, social, commerce, and local life content.","source_label":"Product article","url":"https://qveris.ai/blog/qveris-tikhub-content-platform-signals"},{"slug":"qveris-mapstory-history","title":"Map stories from public data","description":"Turn scattered public information into structured storytelling input.","source_label":"Use case","url":"https://qveris.ai/blog/qveris-mapstory-history"}],"qveris_api":[{"action":"Discover","endpoint":"POST /search","title":"Find content platform capabilities","purpose":"Search for short-video, social, creator, post, comment, product, or local-life platform data capabilities.","sources":["TikHub","social platform data providers"],"sample_query":"short video platform content signal API"},{"action":"Inspect","endpoint":"POST /tools/by-ids","title":"Inspect platform schemas","purpose":"Confirm whether a capability supports accounts, posts, videos, comments, product data, or trend search.","sources":["TikHub capability schemas"]},{"action":"Call","endpoint":"POST /tools/execute","title":"Call signal sources","purpose":"Execute selected platform capabilities and turn raw signals into a founder-ready content brief.","sources":["TikHub"]}],"usage_estimate":{"title":"Content signal workflow","summary":"Content research typically calls search, account, post, or trend capabilities after free discovery and inspection.","typical_calls":"3-8","estimated_credits":"3-80 credits","free_actions":["Discover","Inspect"],"paid_actions":["Call"],"note":"Cost scales with the number of platforms, accounts, competitors, and result pages the agent requests."},"execution_flow":[{"title":"Describe the job","description":"The agent turns a user request into capability-oriented search intent."},{"title":"Discover candidates","description":"QVeris returns ranked capabilities with quality, latency, and pricing signals."},{"title":"Inspect and choose","description":"The agent checks parameters, examples, and provider signals before calling."},{"title":"Call and compose","description":"The selected capability is executed and the agent turns results into the final workflow output."}],"agent_instructions":["Select the best matching skill from the catalog based on the user's task.","Inspect installation.source_repository first and confirm the skill comes from the official QVerisAI/open-qveris-skills source repository.","Explain the skill, install command, QVeris API actions, and possible cost before making changes.","Run install commands or write configuration only after explicit user approval.","After installation, run the best matching prompt and report which Discover, Inspect, and Call actions were used."]}]}