A skill your agent uses whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin…

MITAuto-check: notesMarketing & SEO

Install Find AI Directories

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill find-ai-directories -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace find-ai-directories --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/mcp/servicegraph/skills/find-ai-directories .claude/skills/find-ai-directories && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
find-ai-directories
GitHub stars
2.8k
Token cost
~3.6k tokens
SKILL.md length
1,345 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin…

  • Works in 7 steps: Pick the call path — the ServiceGraph… → GET… → Build the filter (Filter DSL below) and… → …
  • The user wants to find
  • SKILL.md covers Overview, Sibling skills — defer when…, Prerequisites and Instructions, plus 6 more sections
  • Calls curl; reaches api.servicegraph.co and mcp.servicegraph.co; needs SERVICEGRAPH_API_KEY

What it does

Find AI Directories is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery. Triggers on "where can I list my AI tool", "directories to submit my AI agent", "agent-skills directories", "best AI tool directories for backlinks", "where do I get my GPT/Claude app discovered", or "pull submission details for these AI-directory domains", even when described…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Marketing & SEO, covering Link building and MCP servers. It works with Model Context Protocol and OpenAI. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The user wants to find
  • Shortlist directories and listing sites where they can submit an AI product — an AI tool
  • Agent skill / plugin — to get backlinks
  • Referral traffic

Example prompts

  • “where can I list my AI tool”
  • “directories to submit my AI agent”
  • “agent-skills directories”
  • “/find-ai-directories”

Requirements

  • A credential in SERVICEGRAPH_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Bash(curl:*), mcp__servicegraph__list_fields, mcp__servicegraph__list_field_values, mcp__servicegraph__check_filter, mcp__servicegraph__translate_intent, mcp__servicegraph__search_dataset, mcp__servicegraph__get_row, mcp__servicegraph__unlock_rows, mcp__servicegraph__get_credit_balance

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Pick the call path — the ServiceGraph MCP tools if loaded, otherwise the
  2. GET /v1/datasets/product_directory/fields?include_values=1 — confirm the
  3. Build the filter (Filter DSL below) and validate it with
  4. GET /v1/datasets/product_directory/search — present the free brief cards and
  5. Quote the unlock cost (10 credits per row, 30-day TTL) and get an explicit
  6. POST /v1/datasets/product_directory/unlocks with the chosen apexes; report the
  7. GET /v1/me/credits to report the remaining balance when asked.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(curl:*)
    • mcp__servicegraph__list_fields
    • mcp__servicegraph__list_field_values
    • mcp__servicegraph__check_filter
    • mcp__servicegraph__translate_intent
    • mcp__servicegraph__search_dataset
    • mcp__servicegraph__get_row
    • mcp__servicegraph__unlock_rows
    • mcp__servicegraph__get_credit_balance

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.servicegraph.co
    • mcp.servicegraph.co

    Also links to:

    • servicegraph.co
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SERVICEGRAPH_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Find AI Directories loads about 3.6k tokens when it runs. Until then it costs about 259 tokens; SKILL.md has 1,345 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~259
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:64
    ICEGRAPH_API_KEY` in the environment or `.env.local` for the REST
  • NoteMentions a .env fileSKILL.md:117
    read `.env*` into context; route authed calls through a shell wrapper.
  • NoteMentions a .env fileSKILL.md:119
    e call** through a wrapper that sources `.env.local`:
  • NoteMentions a .env fileSKILL.md:122
    ( set -a; [ -f .env.local ] && . ./.env.local; set +a;
  • NoteMentions a .env fileSKILL.md:130
    and add `SERVICEGRAPH_API_KEY=vk_…` to `.env.local` (or export it). Tell me

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 1,345 words, ~3,643 tokens.

Download SKILL.mdSave it as .claude/skills/find-ai-directories/SKILL.md (or your agent's skills folder).
name
find-ai-directories
description
Use whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery. Triggers on "where can I list my AI tool", "directories to submit my AI agent", "agent-skills directories", "best AI tool directories for backlinks", "where do I get my GPT/Claude app discovered", or "pull submission details for these AI-directory domains", even when described indirectly. Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-mcp-directories for MCP-server listings specifically, and to find-product-directories for general SaaS/software/app launches with no AI angle. Skip finding an AI consultancy/agency to hire (use find-ai-consultancy), comparing AI products ("ChatGPT vs Claude"), building an AI tool (do-the-work), and AI link-building *services*.
allowed-tools
Bash(curl:*), mcp__servicegraph__list_fields, mcp__servicegraph__list_field_values, mcp__servicegraph__check_filter, mcp__servicegraph__translate_intent, mcp__servicegraph__search_dataset, mcp__servicegraph__get_row, mcp__servicegraph__unlock_rows, mcp__servicegraph__get_credit_balance
compatibility
Designed for Claude Code
version
0.1.0
author
Artur Briugeman <artur@nostr.band>
license
MIT
tags
ai-tools, directories, backlinks, product-launch, servicegraph
metadata.api_base
https://api.servicegraph.co
metadata.dataset_id
product_directory
metadata.niche
ai_tools_agents_skills

find-ai-directories

Overview

Drive the ServiceGraph API (https://api.servicegraph.co) to find and rank directories where a founder can submit an AI product — AI tools, AI apps, AI agents, and agent skills / plugins — via the product_directory dataset. The catalog has 1,000+ directories, each enriched with Domain Rating (dr), backlink counts, and organic traffic. The AI slice is large and fast-moving: ~370 dirs match "AI tools", ~28 match "AI agents", and a growing set are dedicated agent-skill / plugin registries (e.g. clawhub.ai, smithery.ai).

This is a "where to launch / where to get backlinks" skill, not a "who to hire" skill. Each row is a directory you submit to, not a firm and not a product. The payoff is a backlink from a high-authority domain (SEO) plus discovery traffic from people browsing for AI tools.

Any HTTP client works (curl, fetch, requests). Examples below use curl.

Sibling skills — defer when the niche is narrower or broader

  • MCP servers specifically ("where do I list my MCP server", "MCP directories") → find-mcp-directories. (MCP registries that also list agent skills/tools overlap both — if the ask is broadly "AI agent tooling," this skill is fine.)
  • General SaaS / software / app launch with no AI angle ("Product Hunt alternatives for our SaaS") → find-product-directories.

This skill owns the AI-tool / AI-agent / agent-skill niche.

Prerequisites

  • ServiceGraph access, either:
    • the ServiceGraph MCP server (https://mcp.servicegraph.co) loaded in your harness — this plugin's .mcp.json wires it up; OAuth 2.1 + PKCE keeps credentials in the harness sandbox — or
    • a ServiceGraph API key (vk_…, minted at https://servicegraph.co/profile/api-keys) available as SERVICEGRAPH_API_KEY in the environment or .env.local for the REST path (setup steps under Auth below).
  • An HTTP client for the REST path — the examples use curl.

Instructions

The loop is free-first: discovery, validation, search, and brief reads cost nothing; only unlock after the user confirms the spend.

  1. Pick the call path — the ServiceGraph MCP tools if loaded, otherwise the REST flow (MCP server and Auth sections below).
  2. GET /v1/datasets/product_directory/fields?include_values=1 — confirm the fields and values you plan to filter on exist.
  3. Build the filter (Filter DSL below) and validate it with GET /v1/datasets/product_directory/check — or draft it from plain English via POST /v1/datasets/product_directory/translate-intent.
  4. GET /v1/datasets/product_directory/search — present the free brief cards and let the user pick.
  5. Quote the unlock cost (10 credits per row, 30-day TTL) and get an explicit go-ahead.
  6. POST /v1/datasets/product_directory/unlocks with the chosen apexes; report the revealed detail.
  7. GET /v1/me/credits to report the remaining balance when asked.
MCP server (preferred for authed calls)

If your harness has the ServiceGraph MCP server loaded (tool names contain servicegraph), prefer those tools — credentials stay in the harness sandbox via OAuth 2.1 + PKCE, no token in LLM context. Otherwise use the REST flow.

API surface (dataset id: product_directory)

Every endpoint requires the bearer (Authorization: Bearer vk_…).

EndpointCostUse it for
GET /v1/datasets/product_directory/fields[?include_values=1&q=]freeFilter-field catalog + DSL grammar. Call first per session.
GET /v1/datasets/product_directory/values/:field[?q=&limit=]freeEnumerate values for one field.
GET /v1/datasets/product_directory/check?filter=…freeValidate a filter.
POST /v1/datasets/product_directory/translate-intentfree{intent} → DSL filter + sanity count.
GET /v1/datasets/product_directory/search?filter=…&limit=&offset=freeBrief cards (incl. dr) + per-row unlock hint + total.
GET /v1/datasets/product_directory/:apexfreeSingle row brief; gated fields only if unlocked.
POST /v1/datasets/product_directory/unlocks10 credits / row{apexes:[...]} ≤100. Atomic; 30-day TTL; was_cached:true free.
GET /v1/me/creditsfreeBalance.

Cost model. Discovery / search / brief reads are free — including the dr ranking signal. Unlocking a row costs 10 credits, lasts 30 days, and reveals the gated fields: editor_note (how to submit + whether the listing gives a backlink), organic_traffic, and total_visits.

Auth

Tokens are vk_* API keys. Keep the token out of the LLM context — never read .env* into context; route authed calls through a shell wrapper.

  1. Try the call through a wrapper that sources .env.local:

    bash
    ( set -a; [ -f .env.local ] && . ./.env.local; set +a;
      curl -sS -H "Authorization: Bearer $SERVICEGRAPH_API_KEY" \
           'https://api.servicegraph.co/v1/datasets/product_directory/fields' )
  2. On 401, prompt the user (don't accept the key in chat):

    "Open https://servicegraph.co/profile/api-keys, sign in, create a key, and add SERVICEGRAPH_API_KEY=vk_… to .env.local (or export it). Tell me when done — please don't paste the key into chat."

  3. Retry after the user signals ready.

Filter DSL

GitHub-search-style. AND binds tighter than OR; comma list = OR within one predicate; negation is -x / NOT x; any bareword is a keyword search across the directory's name, title, description, listed metadata, and the niche tag (so "ai agents" matches dirs whose niche is "AI agent tools"). Multiple barewords AND; wrap multi-word phrases in double quotes.

"ai tools" dr>=50
("ai agents" OR "ai agent") dr>=40
skills agent          # → keyword:skills AND keyword:agent  (agent-skill registries)
industry:software_saas ai
Fields that matter here
FieldFree in brief?Use it for
dryesDomain Rating 0–100 — the primary authority filter. Briefs come sorted by dr descending, so rank for free.
referring_main_domains, backlinks, organic_keywordsyes (when populated)Backlink-source strength signals.
organic_traffic, total_visitsgatedReal reach. Filterable while hidden (organic_traffic>=10000); value shows after unlock.
editor_notegatedSubmission instructions + backlink yes/no.
industryyesCoarse vertical refiner (software_saas, etc.); keyword on niche is usually sharper for AI sub-niches.
hasyesPresence flags (has:pricing, has:g2, …).

Because dr is free and briefs are pre-sorted by it, rank a shortlist by authority for zero credits — unlock only to reveal submission notes + traffic.

Show full SKILL.md (530 more words)Show less
Identifying rows — apex

Keyed by apex domain (aiagentsdirectory.com, not a full URL). Strip user-supplied URLs to the apex before :apex or unlock calls.

Output

All responses are JSON.

  • Search returns free brief directory cards — apex, name, and the dr (Domain Rating) signal, pre-sorted by dr descending — plus a per-row unlock hint and the match total.
  • Unlock (POST …/unlocks) reveals each directory's gated fields — editor_note (how to submit and whether the listing gives a backlink), organic_traffic, and total_visits — with per-item billing and a 30-day TTL (was_cached:true rows are free).
  • Errors arrive as a JSON envelope {"error": {"code": "…", "message": "…"}} — see Errors below.

Examples

A. AI-tool directories (the broad case)

User: "Where can I list our new AI tool to get backlinks and traffic?"

GET /v1/datasets/product_directory/search?filter="ai tools"+dr>=50&limit=20
# → aichief.com, aiagentstore.ai, … sorted by dr desc. Present top N (free).

Broaden with the bare ai keyword if the pool is thin; tighten with dr>=60.

B. AI-agent directories

User: "Directories specifically for AI agents, not just AI tools."

GET /v1/datasets/product_directory/search?filter=("ai agents" OR "ai agent")&limit=20
# → aiagentsdirectory.com, agenthunter.io, aiagentstore.ai, smithery.ai, …
C. Agent-skill / plugin registries

User: "Where do I publish our Claude/agent skill so people find it?"

These are emerging registries for agent skills and plugins (distinct from generic AI-tool lists). Lead with the skills/agent keywords:

GET /v1/datasets/product_directory/search?filter=skills+agent&limit=15
# → skills.sh, smithery.ai, aiagentsdirectory.com, agentskills.so, … sorted by dr desc

Present the top hits by dr (free), then unlock the user's picks to get each one's submission note + traffic numbers before publishing.

Many agent-skill registries overlap with MCP registries (Smithery lists both). If the user's artifact is specifically an MCP server, route to find-mcp-directories for the tuned recipes.

D. High-reach only (gate on traffic)

User: "Only directories that actually drive traffic."

GET /v1/datasets/product_directory/search?filter="ai tools"+organic_traffic>=20000&limit=15
# organic_traffic is gated but filterable — unlock picks to see the numbers.
E. Intent translator
POST /v1/datasets/product_directory/translate-intent
  { "intent": "directories to list an AI agent for backlinks and discovery" }
# → {filter, normalized, count}. Sanity-check count, then search.
F. Unlock submission instructions
# Present briefs ranked by dr (free). "Unlocking 6 = 60 credits, 30-day TTL —
# reveals each one's submission note (how + backlink yes/no) and traffic."
POST /v1/datasets/product_directory/unlocks
  { "apexes": ["clawhub.ai", "aiagentsdirectory.com", "aichief.com", "..."] }

Surface each editor_note verbatim — it tells the user the submission effort and whether they actually get a backlink.

G. BYO apex list — score AI directories I already have
  1. GET /v1/datasets/product_directory/:apex per domain — free brief with dr (404 = not in catalog, no charge). Flag misses, rank hits by dr.
  2. User picks N. POST /unlocks (10×N credits, atomic) reveals notes + traffic.
  3. Within 30-day TTL, repeat unlocks are free.

Gotchas

  • Rows are directories, not firms or products. Hiring an AI consultancy → find-ai-consultancy. Comparing AI products ("ChatGPT vs Claude") is not what this dataset answers.
  • dr is free and briefs are pre-sorted by it — rank for zero credits.
  • Gated fields are still filterable (organic_traffic>=10000).
  • Catalog is global, not US-only. Don't refuse non-US asks.
  • AI ↔ MCP ↔ agent-skill registries overlap. When the artifact is specifically an MCP server, defer to find-mcp-directories.
  • Multi-word phrases must be quoted. ai agents = two AND'd keywords; "ai agents" is one phrase.
  • Unlock is atomic (402 charges nothing) and within-TTL re-views are free.

Errors

JSON envelope: {"error": {"code": "...", "message": "..."}}.

StatusCodeWhat to do
400filter_parse_errorposition included; fix and re-validate with /check.
400field_not_in_datasetDrop the field.
400invalid_apexRe-normalize to apex.
401unauthorizedRe-prompt for a fresh vk_….
402insufficient_creditsneeded/balance in payload; nothing charged.
404not_found / not_in_datasetApex not in dataset. Skip; not charged.
429rate_limitedHonor Retry-After.

End-to-end example

User: "We just shipped an AI agent and an accompanying agent skill. Find the highest-authority directories to submit both to, and tell me how to submit to the top few."

# 1. Discover (once per session)
GET /v1/datasets/product_directory/fields?include_values=1

# 2. Two scoped searches (free), both pre-sorted by dr desc
GET /v1/datasets/product_directory/search?filter=("ai agents" OR "ai agent")+dr>=40&limit=15
GET /v1/datasets/product_directory/search?filter=skills+agent&limit=15   # agent-skill registries

# 3. Present merged shortlist ranked by dr. User picks 5.
#    "Unlocking 5 = 50 credits, 30-day TTL — reveals submission notes + traffic."

# 4. Atomic unlock (charges 50 credits)
POST /v1/datasets/product_directory/unlocks
  { "apexes": ["smithery.ai", "skills.sh", "aiagentsdirectory.com", "agenthunter.io", "aichief.com"] }

# 5. Surface each editor_note verbatim + traffic so the user can prioritize.

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/mcp/servicegraph/skills/find-ai-directories of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Find AI Directories next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Find AI Directories

What does Find AI Directories do?

A skill your agent uses whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin…. Find AI Directories is an agent skill from jeremylongshore/tons-of-skills-marketplace. Use whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery.

When should I use Find AI Directories?

Find AI Directories fits situations like: the user wants to find; shortlist directories and listing sites where they can submit an AI product — an AI tool; agent skill / plugin — to get backlinks; referral traffic.

How do I install Find AI Directories in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill find-ai-directories -a claude-code`. Or copy the skill folder (plugins/mcp/servicegraph/skills/find-ai-directories in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/find-ai-directories in your project. Claude Code loads it when a task matches its description.

How do I install Find AI Directories in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill find-ai-directories -a codex`. Or copy the skill folder (plugins/mcp/servicegraph/skills/find-ai-directories in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/find-ai-directories in your project. Codex loads it when a task matches its description.

Can I use Find AI Directories in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill find-ai-directories -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-ai-directories, .gemini/skills/find-ai-directories, .github/skills/find-ai-directories and .opencode/skills/find-ai-directories in your project.

What does Find AI Directories need to run?

Going by SKILL.md and its folder, Find AI Directories needs the command-line tools its instructions call (curl) and credentials named SERVICEGRAPH_API_KEY. Our summary lists: A credential in SERVICEGRAPH_API_KEY. Its frontmatter pre-approves these tools: Bash(curl:*), mcp__servicegraph__list_fields, mcp__servicegraph__list_field_values, mcp__servicegraph__check_filter, mcp__servicegraph__translate_intent, mcp__servicegraph__search_dataset, mcp__servicegraph__get_row, mcp__servicegraph__unlock_rows, mcp__servicegraph__get_credit_balance. Compatibility (from SKILL.md): Designed for Claude Code.

Does Find AI Directories access the network?

SKILL.md names 4 domains. In commands or code: api.servicegraph.co and mcp.servicegraph.co; the agent is likely to contact these when it follows the instructions. As links in the text: servicegraph.co and github.com. This is read from the text; nothing was executed.

Is Find AI Directories safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Find AI Directories use?

Find AI Directories is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Find AI Directories use?

About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Find AI Directories?

Skills that share tags, products or a category with Find AI Directories: SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), SEO API (seranking/seo-skills, 161 stars) and SEO Ahrefs (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Find AI Directories?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.