Agent skill · research science · alirezarezvani
pulse
Use for what people are saying right now about a topic (trends, sentiment, complaints, tool comparisons) across Reddit, Hacker News and the web in a recent window. Returns a cited briefing with engagement signals.
Why this skill is useful
Adds a multi-source research capability that synthesizes real-time insights and engagement metrics from various platforms, which the AI cannot generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.
What this skill does
Pulse — Multi-Source Recency Research Portability: Works in Claude Code CLI and Claude.ai. Phase 4 accepts a local X/Twitter search export before trying a live interface. A recency-oriented research skill that synthesizes what people are saying about a topic across Reddit, Hacker News, the open web, and (optionally) X/Twitter — within a configurable time window. Output is a single coherent briefing with citations, engagement signals, and cross-platform pattern analysis. The skill captures the current conversation, not the canonical reference. Invocation Explicit trigger phrases: "pulse on [topic]" "what's happening with [topic]" "what are people saying about [topic]" "current conversation about [topic]" "take the pulse of [topic]" "trending: [topic]" "find me info on [topic]" Also covers: competitor research with recency flavor, trend discovery, tool comparisons, audience sentiment analysis. Agent Integrity Rules (Research-Pack Convention) The following rules apply throughout the run. They are inherited from the research-pack convention and locked down by PR #657's cross-skill consistency audit. Execution discipline. Phases 1–3 run in parallel (Reddit + HN + Web are independent). Within each phase, sequential calls only. 1 q/sec rate limit per platform. Confirm response received before next call within the same phase. Source discipline. Cite only sources returned by this session's tool calls. Training knowledge is labeled [Background — not from search] and excluded from primary findings count. Three-count tracking. Queries sent / sources received (shown) / sources cited. Surfaced in the audit log inline in the synthesis section. Use scripts/citationtracker.py for the deterministic count. Retry policy. On failure → wait 3s → retry once → log. After 3 consecutive failures across all sources: stop, alert user, share what was collected. Never deliver an empty file. Plan-tier detection. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/pulse--72ea90