> Research an affiliate program and create a verified listing for openaffiliate.dev. Use this skill when the user asks anything about listing a program, adding an affiliate program to the directory, submitting a program to list, creating a listing, documenting an affiliate program, sharing an affiliate program, writing a program profile, posting a program to openaffiliate.dev, or contributing a new program. "create listing for X", "document affiliate program", "share affiliate program", "write a listing", "post to openaffiliate.dev", "add X to the directory", "register an affiliate program", "publish affiliate program", "new program listing", "profile this affiliate program", "catalog this program".
npx skills add https://github.com/Affitor/affiliate-skills --skill submit-program
Research an affiliate program from official sources and produce a verified, publish-ready
listing for openaffiliate.dev. Every number comes from the
program's official affiliate page, network page, or pricing page. No guessing.
This skill belongs to Stage S1: Research
{
program_name: string # (required) Name of the affiliate program, e.g., "HeyGen"
affiliate_link: string # (optional) User's affiliate link to include in the listing
niche: string # (optional) Category hint, e.g., "AI video", "email marketing"
}
Confirm the program name with the user. Ask:
If the user says "just list it" or provides enough context, skip questions and proceed.
Research the program using only official, verifiable sources. Search in this order:
web_search "[program name] affiliate program" orweb_search "[program name] partner program". This is the primary source for commission
structure, cookie duration, payment terms, and signup link.
Impact, PartnerStack, Rewardful, etc.), find the network listing for additional details.
web_search "[program name] pricing". Needed to calculaterealistic earnings (commission % means nothing without knowing the price).
year founded, G2/Capterra rating, social proof. These go in the description.
For each data point, note the source. If a value cannot be verified from official sources,
mark it as "unverified" in the output.
Fill in the structured listing fields from the research:
| Field | Source | Notes |
|-------|--------|-------|
| name | Official product name | Exact capitalization from their website |
| url | Product homepage | Main website, not affiliate signup page |
| reward_type | Affiliate page | One of: cpc, cpl, cps_one_time, cps_recurring, cps_lifetime, other |
| reward_value | Affiliate page | e.g., "30%", "$50", "$0.10 per click" |
| reward_duration | Affiliate page | For recurring: "12 months", "lifetime", etc. Omit for one-time |
| cookie_days | Affiliate page | Number only. If not stated, mark "unverified" and estimate from network norms |
| tags | Niche + features | 3-6 lowercase tags, e.g., ["ai", "video", "saas"] |
Reward type mapping:
cps_one_timecps_recurringcps_lifetimecplcpcother (explain in description)The description is structured markdown that helps affiliates decide if the program is worth
promoting. Write these sections in order:
Opening (2-3 sentences)
What the product does, who it serves, and why affiliates should care. Lead with the value
proposition, not the company history.
Why Promote This Program
3-5 bullet points covering: commission rate highlights, cookie duration, payment reliability,
product-market fit, conversion-friendly features (free trial, demo, low friction signup).
Commission Structure
A markdown table with all commission tiers if multiple exist:
| Plan | Price | Commission | Per Sale | Type |
|------|-------|-----------|----------|------|
| Starter | $29/mo | 30% | $8.70/mo | Recurring |
| Pro | $89/mo | 30% | $26.70/mo | Recurring |
| Enterprise | Custom | 30% | Varies | Recurring |
Include: minimum payout threshold, payment methods (PayPal, wire, etc.), payment frequency
(monthly, net-30, etc.) if found.
Target Audiences
Who can promote this product effectively. List 3-5 specific audience types with brief
reasoning, e.g., "YouTube creators making tutorial content — visual product, easy to demo."
Earning Potential
Realistic earnings at three traffic levels using conservative conversion assumptions
(2% CTR, 2% conversion rate):
| Monthly Traffic | Est. Sales | Monthly Earnings | Annual Earnings |
|----------------|-----------|-----------------|----------------|
| 5,000 visitors | 2 | $X | $X |
| 20,000 visitors | 8 | $X | $X |
| 100,000 visitors | 40 | $X | $X |
For recurring programs, show month-12 compounded earnings, not just month-1.
Why It Converts
2-3 sentences on what makes this product easy to sell: free tier, strong brand recognition,
low-commitment entry point, visual demo potential, etc.
Honest Limitations
2-3 bullet points on real drawbacks. Every program has them. Examples: short cookie window,
high competition from other affiliates, niche audience only, high price point limits
conversions, payout threshold too high for beginners.
If the user provided an affiliate link:
Present the output in two clearly separated parts:
If the user wants to submit the listing directly, note that openaffiliate.dev is a
community-curated directory. Submissions are made via GitHub pull request to the
Affitor/affiliate-skills repository. Format the listing fields below so the user
can include them in a PR or share via the community.
{
"name": "...",
"url": "...",
"description": "...",
"reward_type": "...",
"reward_value": "...",
"reward_duration": "...",
"cookie_days": 30,
"tags": ["...", "..."]
}
Before presenting output, verify:
name matches official product name (exact capitalization)reward_value comes from the official affiliate page, not estimatedreward_type uses one of the allowed enum valuescookie_days is a number from official source or explicitly marked "unverified"If any check fails, fix the output before delivering. Do not flag the checklist to the
user — just ensure the output passes.
Other skills consume these fields from conversation context:
{
output_schema_version: "1.0.0" # Semver — bump major on breaking changes
listing: {
name: string # "HeyGen"
url: string # "https://heygen.com"
description: string # Full markdown description (all sections)
reward_type: string # "cps_recurring" — enum: cpc, cpl, cps_one_time, cps_recurring, cps_lifetime, other
reward_value: string # "30%" or "$50"
reward_duration: string # "12 months" | "lifetime" | null (for one-time)
cookie_days: number # 60
tags: string[] # ["ai", "video", "saas"]
}
sources: {
affiliate_page: string # URL of official affiliate page
pricing_page: string # URL of pricing page
network: string | null # "PartnerStack", "ShareASale", etc.
}
verification: {
all_fields_verified: boolean # true if every field from official source
unverified_fields: string[] # ["cookie_days"] if any field could not be confirmed
}
}
## Listing Fields
| Field | Value |
|-------|-------|
| Name | [Product Name] |
| URL | [https://product.com] |
| Reward Type | [cps_recurring] |
| Reward Value | [30%] |
| Reward Duration | [12 months] |
| Cookie Days | [60] |
| Tags | [ai, video, saas] |
**Sources:** Affiliate page: [URL] | Pricing page: [URL] | Network: [Name or "Direct"]
---
## Description
[Opening paragraph]
### Why Promote This Program
- [Bullet 1]
- [Bullet 2]
- [Bullet 3]
### Commission Structure
| Plan | Price | Commission | Per Sale | Type |
|------|-------|-----------|----------|------|
| ... | ... | ... | ... | ... |
Payment: [method], [frequency], [minimum payout]
### Target Audiences
- **[Audience 1]** — [why they can promote this]
- **[Audience 2]** — [why they can promote this]
- **[Audience 3]** — [why they can promote this]
### Earning Potential
| Monthly Traffic | Est. Sales | Monthly Earnings | Annual Earnings |
|----------------|-----------|-----------------|----------------|
| 5,000 visitors | [X] | $[X] | $[X] |
| 20,000 visitors | [X] | $[X] | $[X] |
| 100,000 visitors | [X] | $[X] | $[X] |
*Assumes 2% CTR, 2% conversion rate. [Recurring note if applicable.]*
### Why It Converts
[2-3 sentences]
### Honest Limitations
- [Limitation 1]
- [Limitation 2]
- [Limitation 3]
---
**Ready to share?** Copy the Listing Fields above and submit via a GitHub PR to
Affitor/affiliate-skills, or browse the directory at openaffiliate.dev.
or searching for similar programs that do offer affiliates. Do not fabricate commission data.
verified from public sources. Use network listing or trusted third-party sources as
fallback. Mark unverified fields explicitly.
but network says 25%), note both values and flag the discrepancy. Let the user decide
which to use.
commission rates, note the date if available and flag that terms may change.
calculations. Note the assumption. For enterprise-only pricing, use "Contact sales" and
skip per-sale calculations for that tier.
(ShareASale: typically 30d, Impact: varies, PartnerStack: typically 90d). Do not guess.
Example 1: SaaS with recurring commission
User: "List HeyGen's affiliate program"
Example 2: One-time commission program
User: "Add Bluehost affiliate program to the list"
Example 3: Program with unverifiable data
User: "Create a listing for this new AI tool I found — ToolXYZ"
affiliate-blog-builder (S3) — listing data powers review articles and roundup postslanding-page-creator (S4) — commission structure and product details feed landing pagescomparison-post-writer (S3) — verified program data for side-by-side comparisonscommission-calculator (S1) — structured commission data for earnings projectionsviral-post-writer (S2) — program highlights for social contentbonus-stack-builder (S4) — product knowledge informs bonus designaffiliate-program-search (S1) — discovered programs that need to be listedniche-opportunity-finder (S1) — high-opportunity niches with programs worth documentingconversion-tracker (S6) — top-performing programs worth listing for the communityand description formats drive the most affiliate signups. High-star listings become
templates for future listings. Low-engagement listings get revised with better earning
potential data and more specific audience targeting.
chain_metadata:
skill_slug: "submit-program"
stage: "research"
timestamp: string
suggested_next:
- "affiliate-blog-builder"
- "comparison-post-writer"
- "landing-page-creator"
- "commission-calculator"
Before marking this skill's output as complete:
reward_type is a valid enum value from the openaffiliate.dev schemaaffiliate-program-search/references/openaffiliate-api.md — API endpoints for openaffiliate.dev (public, no auth)shared/references/affiliate-glossary.md — reward_type definitions and field namesshared/references/flywheel-connections.md — master flywheel connection mapSearches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
【强制】所有技术文档查询必须使用本技能,禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词:查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询,避免大量文档内容污染主对话上下文,保持 token 效率。
Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.
Maximum-saturation research orchestration: ALWAYS proposes the final materials first (PDF+DOCX default), then parallel explore+librarian swarms across codebase, web, official docs, and OSS repos — max-roster teammode when the harness has it — with live journaling, a recursive EXPAND loop driven by leads workers return in message text, empirical verification by running code, and a cited synthesis with charts/Mermaid/assets behind a mandatory visual-QA gate. ACTIVATES ONLY on an explicit user demand for research — the word 'ulw-research' ('/ulw-research', '$ulw-research'), any 'ulw' research wording, 'ultradebate' or 'hyperdebate' research requests, or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.
"Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes."
Take affitor/submit-program 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.