onfire-mcp-skills

Generate a full account research report for any company. The Onfire MCP `account_research` tool fetches every data source - tenant config, 10-K extracts, employee LinkedIn footprint, intent signals, and AI-scored prospects - in one call and returns a rendering contract alongside the data. This skill enforces the rendering contract and produces the final customer-facing A4 HTML file. Use whenever a user asks to "generate a report", "research an account", "build a BDR brief", "run account research", or mentions a company domain alongside words like "signals", "prospects", "10-K", "use cases", or "tenant".

Run AI prospecting against a target company (rank likely buyers/champions) or score a single named person at a company using the Onfire `ai_prospecting` tool. Use when the user wants prospects for an account, a ranked list of who to talk to, a score on a specific person ("is X worth a meeting"), or a batch run across multiple companies. Covers both `action='run'` and `action='get_prospect'`, the dataset-backed response and how to query it, the polling pattern for long runs, and the shadow-schema test mode.

Find people who joined specific online communities (Slack workspaces, Discord servers, Reddit communities, LinkedIn groups, GitHub orgs) using the `query_onfire` tool against ONFIRE.EVIDENCES. Use when the user asks who joined a community, who is a member of a specific Slack/Discord/Reddit/LinkedIn group, or wants to find community presence signals for accounts or individuals — phrases like "who joined the Artifex Slack", "members of the DevSecOps Discord", "find everyone from Northwind who's in any Kubernetes community", "who joined any security Slack since January", or any community-membership lookup.

Run aspect-based sentiment analysis over the Onfire community-messages corpus (Slack, Discord, Reddit, etc.) using the `community_messages_sentiment` tool. Use whenever the user asks how a community feels about a product, vendor, or topic — phrases like "sentiment about X", "what does the community think of Y", "positive/negative feedback on Z", "POC sentiment", "buzz around <vendor>", "who's complained about <product>", "find advocates for <topic>", or any question that combines a keyword/topic with a date range and an opinion angle. The tool returns a small inline summary plus a persisted CSV dataset of every scored message — this skill enforces the post-call playbook so the dataset (not the inline numbers) becomes the deliverable.

Analyse monthly headcount growth and technology/persona adoption trends for companies. For total company headcount use `get_company_headcount`; for technology or persona growth use `query_onfire` against ONFIRE.GROWTH_INSIGHT_MONTHLY. Use when the user wants to know if a company is hiring or contracting, whether a specific technology is spreading within a company, or how headcount growth compares to tech adoption — phrases like "is Acme growing?", "is EDR adoption growing at these accounts?", "compare Sentinex vs total headcount trend at Skywall Networks", "which accounts are shrinking?", "is the data engineering team at Frostbyte expanding?", or any month-over-month growth question.