naveedharri

59 mods across 1 repository, 59 stars between them.

marketplace

01

naveedharri/benai-skills

Plugin Claude Code

Plugin marketplace listing 22 plugins: benai-marketing, benai-sales, all-skills, content, marketing.

59 6d ago A tokens not measured original MIT

naveedharri/benai-skills

Instructions file

Instructions for naveedharri/benai-skills, covering benai skills - expert automation, what this is, available departments, marketing (12 skills) and benai sales (14 skills).

59 6d ago B 5,911 tokens original MIT

audit-budget

03

naveedharri/benai-skills

Agent

Budget and bidding specialist. Audits budget allocation, bidding strategies, learning phase health, audience targeting, and campaign structure across LinkedIn, TikTok, and Microsoft.

59 6d ago A 36 tokens original MIT

audit-compliance

04

naveedharri/benai-skills

Agent

Compliance and performance specialist. Audits regulatory compliance, ad policies, privacy requirements, campaign settings, and performance benchmarks across LinkedIn, TikTok, and Microsoft.

59 6d ago A 36 tokens original MIT

audit-creative

05

naveedharri/benai-skills

Agent

Creative quality specialist. Audits ad creative across LinkedIn, TikTok, and Microsoft for format diversity, fatigue signals, platform-native content, and spec compliance.

59 6d ago A 36 tokens original MIT

audit-google

06

naveedharri/benai-skills

Agent

Google Ads audit specialist. Analyzes conversion tracking, wasted spend, account structure, keywords, Quality Score, ad assets, PMax, bidding, and settings.

59 6d ago A 36 tokens original MIT

audit-meta

07

naveedharri/benai-skills

Agent

Meta Ads audit specialist. Analyzes Pixel/CAPI health, EMQ scores, creative diversity and fatigue, account structure, learning phase, audience targeting, and Advantage+ campaigns.

59 6d ago A 39 tokens original MIT

audit-tracking

08

naveedharri/benai-skills

Agent

Conversion tracking specialist. Audits pixel installation, server-side tracking, event configuration, and attribution across LinkedIn, TikTok, and Microsoft platforms.

59 6d ago A 33 tokens original MIT

naveedharri/benai-skills

Agent

Eval Agent for AutoResearch. Designs the scoring system — receives user-confirmed criteria and the target prompt, then generates eval.py + testcases.json (deterministic mode) or rubric.md + testcases.json (AI judge mode). The main agent never sees the eval artifacts in detail.

59 6d ago A 64 tokens original MIT

autoresearch-judge

10

naveedharri/benai-skills

Agent

Judge Agent for AutoResearch. Scores outputs against a locked rubric for quality assessment. Operates with fresh context every iteration — knows NOTHING about iteration count, prompt changes, or optimization goals. Only follows the rubric.

59 6d ago C 47 tokens original MIT

naveedharri/benai-skills

Agent

Test Runner Agent for AutoResearch. Executes the prompt/skill for real using all available tools (web search, APIs, file access). Operates with fresh context — knows NOTHING about eval criteria, assertions, iteration count, or optimization goals. This isolation ensures the main agent cannot influence output generation.

59 6d ago A 65 tokens original MIT

icebreaker-writer

12

naveedharri/benai-skills

Agent

Use this sub-agent to write hyper-personalized cold email icebreakers for a batch of B2B leads. Spawn one instance per batch of 5 leads. Each instance receives full lead data (including intelligence and LinkedIn research), writing rules, reference examples, and product context, then produces one icebreaker per lead.

59 6d ago A 71 tokens original MIT

lead-qualifier

13

naveedharri/benai-skills

Agent

Use this sub-agent to qualify a batch of B2B leads against an ICP definition. Spawn one instance per batch of 10 leads. Each instance receives a JSON batch of leads, the full ICP definition, and qualification logic, then returns a JSON array of qualified/disqualified leads with reasoning.

59 6d ago A 64 tokens original MIT

lead-researcher

14

naveedharri/benai-skills

Agent

Use this sub-agent to conduct deep web research on a batch of B2B leads. Spawn one instance per batch of 5 leads. Each instance researches each lead's company, role, and public presence, then produces a structured 13-section intelligence report per lead.

59 6d ago A 59 tokens original MIT

linkedin-scraper

15

naveedharri/benai-skills

Agent

Use this sub-agent to orchestrate LinkedIn scraping for all qualified leads via Apify actors. Only ONE instance should be spawned per pipeline run. It handles triggering both Apify actors (posts + profiles), waiting for completion, fetching datasets, and persisting all results to disk as JSON files.

59 6d ago A 64 tokens original MIT

ads

16

naveedharri/benai-skills

Plugin Claude Code

Paid ads toolkit (14 skills + 6 audit subagents). Covers Google, Meta, LinkedIn, TikTok, YouTube, and Microsoft Ads. Includes audits, budget allocation (70/20/10), creative + brand context, landing pages, strategic planning, and competitive intel.

59 6d ago A tokens not measured original MIT

ads-audit

17

naveedharri/benai-skills

Skill Claude CodeCodex

Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads accounts. Generates health score per platform and aggregate score. Use when user says "audit", "full ad check", "analyze my ads", "account health check", or "PPC…

59 6d ago A 76 tokens original MIT

ads-budget

18

naveedharri/benai-skills

Skill Claude CodeCodex

Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says "budget allocation", "bidding strategy", "ad…

59 6d ago A 88 tokens original MIT

ads-competitor

19

naveedharri/benai-skills

Skill Claude CodeCodex

Competitor ad intelligence analysis across Google, Meta, LinkedIn, TikTok, and Microsoft. Analyzes competitor ad copy, creative strategy, keyword targeting, estimated spend, and identifies competitive gaps and opportunities. Use when user says "competitor ads", "ad spy", "competitive analysis", "competitor PPC", or…

59 6d ago A 74 tokens original MIT

ads-creative

20

naveedharri/benai-skills

Skill Claude CodeCodex

Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Collects brand context and creates branding.md if missing. Uses infographic-v2 for generating ad…

59 6d ago A 88 tokens original MIT

ads-google

21

naveedharri/benai-skills

Skill Claude CodeCodex

Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says "Google Ads", "Google PPC", "search ads", "PMax", "Performance Max", or "Google…

59 6d ago A 74 tokens original MIT

ads-landing

22

naveedharri/benai-skills

Skill Claude CodeCodex

Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion rate", or "landing page optimization".

59 6d ago A 63 tokens original MIT

ads-linkedin

23

naveedharri/benai-skills

Skill Claude CodeCodex

LinkedIn Ads deep analysis for B2B advertising. Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, and predictive audiences. Use when user says "LinkedIn Ads", "B2B ads", "sponsored content", "lead gen forms"…

59 6d ago A 85 tokens original MIT

ads-meta

24

naveedharri/benai-skills

Skill Claude CodeCodex

Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says "Meta Ads", "Facebook Ads", "Instagram Ads", "Advantage+", or "Meta campaign".

59 6d ago A 66 tokens original MIT