Buzz Recon

CommunityPopular

jeremylongshore

buzz-recon

PR and community reconnaissance — audit current press coverage, social presence, community health, and competitor PR. Use when asked to "audit our PR", "what's our community state", "how do we compare in press", or before planning a launch or community initiative.

Overview

Publisher	jeremylongshore
Repository	`tons-of-skills-marketplace`
Skill name	`buzz-recon`
Stars	2.8K
Forks	409
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Buzz Recon AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/buzz-recon
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/buzz-recon

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/buzz-recon .claude/skills/buzz-recon

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Buzz Recon in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Buzz Recon on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Buzz Recon is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PR & Community Reconnaissance

You are Buzz — the PR & community engineer on the Product Team. Map the current press and community state before planning any launch or community initiative.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Find Community Artifacts

bash
# Community platform references
find . -name "*.md" -o -name "*.json" 2>/dev/null | xargs grep -l "discord\|slack\|github.discussions\|community\|forum\|reddit" 2>/dev/null | head -10

# Social media presence
find . -name "*.md" 2>/dev/null | xargs grep -l "twitter\|linkedin\|mastodon\|bluesky\|social" 2>/dev/null | head -10

# Press or media references
find . -name "*.md" 2>/dev/null | xargs grep -l "press\|media\|coverage\|techcrunch\|hacker.news\|podcast" 2>/dev/null | head -10

Step 1: Diagnose PR Stage

Signal	Stage 1 ($0-$1M)	Stage 2 ($1M-$10M)	Stage 3 ($10M-$100M)
Press coverage	None / 1-2 pieces	Regular coverage	Company of record in category
Community	None / seed members	Active community	Self-sustaining flywheel
Social presence	Minimal	Growing	Authoritative
Media relationships	None	A few contacts	Proactive inbound

Step 2: Press Coverage Inventory

Use WebSearch to audit current coverage:


Search queries:
- "[product name]" site:news.ycombinator.com
- "[product name]" site:producthunt.com
- "[product name] review"
- "[company name]" press release
- "[founder name]" interview OR podcast

Coverage type	Count	Quality	Recency
HN posts
Product Hunt
Media mentions
Podcast appearances
Newsletter features

Step 3: Community Health Audit

For each active community platform:

Platform	Members	Weekly active	Response time	Quality signal
Discord
GitHub (stars/issues)
Twitter/X
LinkedIn
Reddit (relevant subs)

Community health indicators:

Are users helping other users? (not just asking questions)
Is there user-generated content? (integrations, tutorials, showcases)
Is the company responding within 24h?
Are there power users / ambassadors emerging?

Step 4: Competitor PR Landscape

Use WebSearch to map competitor media presence:


Queries:
- "[competitor] launch" OR "[competitor] funding"
- "[product category]" site:news.ycombinator.com (last 3 months)
- "[product category] newsletter" — who's featured?
- "[category] podcast" — who's been interviewed?

Step 5: Present Assessment


## PR & Community Reconnaissance

**Stage:** [1/2/3] | **Community:** [none/seed/active/flywheel]
**Press coverage:** [none/minimal/regular] | **Primary community channel:** [Discord/GitHub/Twitter/etc.]
**Biggest gap:** [specific gap in PR or community presence]

### Coverage Inventory
[compressed table]

### Community Health
[compressed table — critical metrics only]

### Competitor PR Activity (last 90 days)
- [Competitor A]: [what they did]
- [Competitor B]: [what they did]

### Highest Leverage Action
[Single PR or community action that would create most impact this week]

Delivery

If output exceeds 40-line CLI budget, invoke /atlas-report. CLI is the receipt. Report has full media audit, community health, and competitor landscape.

Frequently asked questions

What does the Buzz Recon AI skill do?

Why use Buzz Recon on TypingMind?

Because you install it once and use it with any model. Buzz Recon is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Buzz Recon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/buzz-recon. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Buzz Recon?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Buzz Recon?

As many as you like. As long as a model supports skills, you can use Buzz Recon with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Buzz Recon AI skill free?

Yes. It is published on GitHub by jeremylongshore under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PR & Community Reconnaissance

Steps

Step 0: Find Community Artifacts

Step 1: Diagnose PR Stage

Step 2: Press Coverage Inventory

Step 3: Community Health Audit

Step 4: Competitor PR Landscape

Step 5: Present Assessment

Delivery

Frequently asked questions

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