Claude-Guardian
Claude Guardian is an all-in-one Claude account safety and risk prevention skill. It intelligently assesses your device, account history, network environment, and payment options, then provides person
A free Claude skills marketplace for startups and scale-ups: 25 researched AI agents for sales, marketing, growth and revenue operations, in 8 categories. Install all of them in Claude Code with one c
SkillsPythonGitHub @revops-labOnlineOwner unconfirmed
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25 free, researched Claude skills for sales, marketing and RevOps teams. One-command install for Claude Code.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
Free, researched Claude skills for sales, marketing and revenue operations teams. 25 agents in 8
categories, each built on named research (see RESEARCH.md), each asking only the
questions it needs, and each proposing before it changes anything. Works for any industry.
Guides and examples for every agent: https://revopslab.org/agents/
Then install the categories you want, for example:Read the full README ↗Free, researched Claude skills for sales, marketing and revenue operations teams. 34 agents in 8 categories, each built on named research (see RESEARCH.md), each asking only the questions it needs, and each proposing before it changes anything. Works for any industry.
Guides and examples for every agent: https://revopslab.org/agents/
/plugin marketplace add revops-lab/agents
Then install the categories you want, for example:
/plugin install start-here@revopslab
/plugin install meetings@revopslab
Click an agent name in the table below to open its page and download it as a zip, then upload it in Settings, under Skills. All 34 zips are also attached to the latest release.
Run company-context first. It reads your website, asks a few questions and writes
company-context.md, the file every other agent reads. In the Claude app, add that file to your
Project knowledge.
| Category | Agent | What you get |
|---|---|---|
| Start here | company-context | Your offer, ideal customer, buying group, buying situations, proof and "not a fit", in one file |
| Find accounts | ideal-customer-finder | Your best customers by segment from closed deals, scored, with a "not a fit" list |
account-brief | A one-page brief before outreach: fit, what changed, buying group, first line | |
right-person-check | Job titles sorted into personas or "not a fit", with the rule that decided | |
buying-signal-monitor | A ranked "act now" list of accounts with dated signals and who to contact | |
lead-scoring-designer | A fit plus engagement score tested on your history, with a build sheet | |
champion-tracker | Past champions who moved to a fitting company, with a warm note to approve | |
closed-lost-revival | Win-loss reasons with counts, and the lost deals worth reopening now | |
| Reach out | cold-email-writer | A three to four step sequence under 100 words per email, built on a real reason |
email-check | A score, the weak lines, a deliverability check (SPF, DKIM, DMARC) and a rewrite | |
linkedin-post-writer | A researched, answer-first post with a visual brief, for a person or a page | |
cold-email-sequence | One segment, one angle, three steps under 100 words, with a send checklist | |
sending-domain-audit | SPF, DKIM, DMARC and MX for every sending domain, the exact fixes and a warm-up plan | |
| Meetings | first-call-prep | A one-screen brief: who, what changed, your history, questions to ask |
call-follow-up | Buyer questions, a SPICED summary and CRM updates you approve | |
objection-helper | What is really behind an objection or stall, and the next question and answer | |
meeting-sorter | A week of calls sorted, with patterns and exact quotes | |
sales-battlecard | One page per competitor from your won and lost deals: landmines, objections, proof | |
| Pipeline and forecast | account-context | The full account history from the CRM on one pinned note |
account-intelligence | A cited brief on a top account: why now, who owns the budget, what to say | |
deal-review | MEDDICC evidence check, stall risks, a premortem and three actions | |
pipeline-review | Coverage from your own win rate, slippage, risk and five conversations | |
stakeholder-map | The buying group mapped: roles, stance, power, gaps and one next step per person | |
proposal-writer | A proposal in the buyer's words with a recommendation, a first step and a mutual plan | |
| Marketing | ai-visibility-check | Whether ChatGPT, Claude, Gemini and Perplexity recommend you, and why not |
google-ads-waste-finder | Wasted search spend found and priced, with negative keywords ready to paste | |
content-brief | A keyword-led, answer-first brief that Google and AI assistants can quote | |
channel-attribution | Revenue by channel in three views, with the tracking gaps that skew them | |
weekly-marketing-report | GA4, Search Console and CRM in one screen, ending in one decision for the week | |
| CRM and operations | crm-hygiene-audit | Data problems ranked by the decisions they break, with a fix plan |
lead-handoff-check | Real speed to lead, routing leaks and an SLA between marketing and sales | |
| Customers | renewal-risk-check | Accounts at risk before renewal, with reasons and save plans |
qbr-prep | A business review built on the customer's goals and results | |
account-plan | A one-page plan for a key customer: goals, value, relationships, risks, 90 days |
Agents that read HubSpot name the exact properties they use (display name and default internal
name), for example Recent sales email replied date (hs_sales_email_last_replied), Last contacted
(notes_last_contacted) and Number of open deals (hs_num_open_deals). Each agent confirms names
with the connector's property search first, because portals can rename or hide properties.
MIT. Free to copy, change and keep. Built by Aizaz Tanveer at https://revopslab.org.