by QVeris
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.
Research topics, monitor platform signals, and turn social data into founder-ready content workflows.
Operators, monitors, and team briefing agents
A structured brief with evidence, missing data, and follow-up checks.
Each article or tutorial is treated as a reusable workflow source: content, copied prompt, QVeris API recipe, and expected output.
Product article
Understand platform momentum across short video, social, commerce, and local life content.
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.
Workflow brief · Markdown brief
Use case
Turn scattered public information into structured storytelling input.
Scan public content signals for three competitors in our category. Identify their strongest narratives, most repeated user objections, and opportunities for our next post.
Execution checklist · Checklist
Starter prompts that turn the skill into executable agent work.
Use public content-platform signals to explain what is gaining traction.
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.
Turn competitor activity into actionable content planning.
Scan public content signals for three competitors in our category. Identify their strongest narratives, most repeated user objections, and opportunities for our next post.
The formats an agent should return after the workflow runs, with enough structure for reuse and auditing.
Combine the task, sources, result, and limitations into a reusable output.
Show the agent and user what has been done and what still needs verification.
Record QVeris actions, paid-call count, and estimated credits.
The concrete Discover, Inspect, and Call sequence this skill expects the agent to run.
POST /searchSearch for short-video, social, creator, post, comment, product, or local-life platform data capabilities.
Sample query: short video platform content signal API
POST /tools/by-idsConfirm whether a capability supports accounts, posts, videos, comments, product data, or trend search.
POST /tools/executeExecute selected platform capabilities and turn raw signals into a founder-ready content brief.
A planning estimate before execution. Discover and Inspect are free; successful Call execution follows the selected provider billing rule.
Content research typically calls search, account, post, or trend capabilities after free discovery and inspection.
Cost scales with the number of platforms, accounts, competitors, and result pages the agent requests.
Install the skill in the target agent environment. Agents must ask before running commands or changing local configuration.
This is the source of record for QVeris skills. Inspect or fork the skill folder before installing it in an agent environment.
QVerisAI/open-qveris-skills/x-founder-operationsgit clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/x-founder-operationsopenclaw skills install x-founder-operationsThe visible chain the agent should expose after the user copies a prompt.
The agent turns a user request into capability-oriented search intent.
QVeris returns ranked capabilities with quality, latency, and pricing signals.
The agent checks parameters, examples, and provider signals before calling.
The selected capability is executed and the agent turns results into the final workflow output.
Read manifest and agent.md first. Explain the install command, API actions, and possible credit usage. Wait for explicit approval before making local changes.