SignalRaven
SignalRaven v1.0.0
Publisher description
From the marketplace listing
SignalRaven monitors LinkedIn for the conversations that matter to a B2B seller: posts by competitors and their employees, keyword and industry searches, brand mentions, and your own content. When someone engages, SignalRaven qualifies them against your ideal customer profile through 14 review gates, scores urgency from 1 to 10, and delivers a signal: who they are, what they engaged with, why it matters, and a suggested opener drafted from what they posted. With this plugin, ChatGPT and Codex read your SignalRaven workspace and help you act on it. What you can do: see your strongest signals this week and open any of them with the person, the ICP analysis, why it matters, the suggested opener and the talking points. Draft three openers that cite what the person actually posted. List the sources you monitor with their metrics, read your watchlist and your ICP profile. Open Account and Person Intelligence reports. See workspace usage and where signals are delivered. With the write permissions you grant on the consent screen, start an Account or Person Intelligence run from a LinkedIn URL (spends credits) and create or update a delivery destination. Safe by design: the plugin reads your own workspace over an OAuth connection you approve and can revoke. Monitoring runs on SignalRaven's infrastructure. It never touches your LinkedIn login, cookies or session. Anything that spends credits or changes where signals go sits behind its own named permission. A trial or paid SignalRaven workspace gets live data. Any other account can connect and explore with clearly labeled sample data.
Language: English · Automatically detected from descriptions.
Files & skills
File archives
Skill instructions
draft-openers975 Bytes
--- name: draft-openers description: Draft three LinkedIn openers from a SignalRaven signal. Use when the user asks what to say to a prospect, wants a connection note, or asks for an opener from a signal. --- # Draft openers from a signal 1. Get the signal. If the user gave an id, call `get_signal`. Otherwise call `list_signals` with `minStrength: 6` and pick the one the user means, or show the top five and ask. 2. Read the post excerpt, the summary, `whyItMatters`, `suggestedOpener`, and the talking points. 3. Write three openers, each under 300 characters, each citing the specific thing the person posted or engaged with. Vary the angle: one about their point, one about a consequence for their team, one that asks a question. No greeting, no pitch, no compliments about their profile. 4. Show the three openers and the signal's portal link from `signalDetailUrl`. Never invent an engagement. If the signal has no post text, write from `whyItMatters` and say so.
research-prospect1.37 KB
--- name: research-prospect description: Research a person or company before outreach using the SignalRaven tools. Use when the user names a prospect, pastes a LinkedIn URL, or asks who is showing buying intent this week. --- # Research a prospect Use the SignalRaven tools. Every tool reads the user's own workspace over OAuth; the first call opens sign-in. If results say sample data, the workspace is not active yet; say so once and continue. 1. **Find what SignalRaven already knows.** Call `list_signals` with `minStrength: 6`. If the user named a person or company, look for them in the results. Call `get_signal` on any match for the full detail: the person, the ICP analysis, why it matters, the suggested opener, the talking points. 2. **Check existing reports.** Call `list_intelligence` with `q` set to the name. Open a match with `get_person_intelligence` or `get_account_intelligence`. 3. **Run a report only when asked.** `run_person_intelligence` and `run_account_intelligence` spend credits and take time. Ask before calling them and say they spend credits. 4. **Answer in this shape:** who they are, what they engaged with and when, the ICP read, why now, three talking points. Quote the post they engaged with when the signal carries it. Facts come from the tools. Never invent an engagement. If nothing comes back, say SignalRaven has no signal on them yet and offer to run a report.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- SignalRaven
Package observed Oct 2, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 2, 2026 · 12:00 UTC
- Collection status
- Collected
plugin_asdk_app_6aaaec22724c81919e68f29562cb4e42
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