Agent skill · AI & Agents

podium-rag-context-bridge

Bridge a live Podium call transcript or webchat turn to an LLM by fetching relevant historical conversation context as a structured RAG bundle — vector search over embedded prior conversations + reranking + live Podium contact lookup, merged under a hard latency budget that keeps the call answerable in real time. Use when wiring a transcription-driven agent loop to an LLM that needs cross-channel customer memory, building the substrate that turns "transcript chunk" into "LLM-ready prompt with context", or hardening an existing RAG pipeline against staleness, reranking noise, PII leakage, token

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill podium-rag-context-bridge --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 11
SKILL.md size: 20 KB
Bundled scripts: yes
Version: 2.8.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(curl:*)Bash(jq:*)Bash(python3:*)Bash(psql:*)Grep
Requires: Designed for Claude Code
Path: skills/.curated/podium-rag-context-bridge/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Podium RAG Context Bridge ## Overview Take a live transcript chunk (or webchat turn) and emit a structured RAG context bundle the calling LLM can drop into its prompt. This is not a chatbot. This is the substrate that sits between Podium's transcription stream and whatever LLM your agent loop is using — fetching the right historical context, fast enough to matter, in a shape the model can actual

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About this skill
What does the podium-rag-context-bridge skill do?

Bridge a live Podium call transcript or webchat turn to an LLM by fetching relevant historical conversation context as a structured RAG bundle — vector search over embedded prior conversations + reranking + live Podium contact lookup, merged under a hard latency budget that keeps the call answerable in real time. Use when wiring a transcription-driven agent loop to an LLM that needs cross-channel customer memory, building the substrate that turns "transcript chunk" into "LLM-ready prompt with context", or hardening an existing RAG pipeline against staleness, reranking noise, PII leakage, token

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill podium-rag-context-bridge --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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