Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill sequence-load
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".
/apollo:sequence-load add 20 VP Sales at SaaS companies to my "Q1 Outbound" sequence/apollo:sequence-load SDR managers at fintech startups → Cold Outreach v2/apollo:sequence-load list sequences (shows all available sequences)/apollo:sequence-load directors of engineering, 500+ employees, US → Demo Follow-up/apollo:sequence-load reload 15 more leads into "Enterprise Pipeline"From "$ARGUMENTS", extract:
Targeting criteria:
person_titlesperson_senioritiesq_organization_keyword_tagsorganization_num_employees_rangesperson_locations or organization_locationsSequence info:
If the user just says "list sequences", skip to Step 2 and show all available sequences.
Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_search to find the target sequence:
q_name to the sequence name from inputIf no match or multiple matches:
Use mcp__claude_ai_Apollo_MCP__apollo_email_accounts_index to list linked email accounts.
Use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with the targeting criteria.
per_page to the requested volume (or 10 by default)Present the candidates in a preview table:
| # | Name | Title | Company | Location |
|---|---|---|---|---|
Ask: "Add these [N] contacts to [Sequence Name]? This will consume [N] Apollo credits for enrichment."
Wait for confirmation before proceeding.
For each approved lead:
mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match (batch up to 10 per call) with:first_name, last_name, domain for each personreveal_personal_emails set to truemcp__claude_ai_Apollo_MCP__apollo_contacts_create with:first_name, last_name, email, title, organization_namedirect_phone or mobile_phone if availablerun_dedupe set to trueCollect all created contact IDs.
Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_add_contact_ids with:
id: the sequence IDemailer_campaign_id: same sequence IDcontact_ids: array of created contact IDssend_email_from_email_account_id: the chosen email account IDsequence_active_in_other_campaigns: false (safe default)Show a summary:
Sequence loaded successfully
| Field | Value |
|---|---|
| Sequence | [Name] |
| Contacts added | [count] |
| Sending from | [email address] |
| Credits used | [count] |
Contacts enrolled:
| Name | Title | Company | Email |
|---|---|---|---|
Ask the user:
mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_remove_or_stop_contact_ids to remove specific contactsstatus: "paused" and an auto_unpause_at dateExtracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Official Google SEO guide covering search optimization, best practices, Search Console, crawling, indexing, and improving website search visibility based on official Google documentation
Fix PageSpeed Insights/Lighthouse accessibility "!" errors caused by contrast audit failures (CSS filters, OKLCH/OKLAB, low opacity, gradient text, image backgrounds). Use for accessibility-driven SEO/performance debugging and remediation.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Take anthropics/sequence-load from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.