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*.
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
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*.
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.
Pick the call path — the ServiceGraph MCP tools if loaded, otherwise the
REST flow (MCP server and Auth sections below).
GET /v1/datasets/product_directory/fields?include_values=1 — confirm the
fields and values you plan to filter on exist.
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.
GET /v1/datasets/product_directory/search — present the free brief cards and
let the user pick.
Quote the unlock cost (10 credits per row, 30-day TTL) and get an explicit
go-ahead.
POST /v1/datasets/product_directory/unlocks with the chosen apexes; report the
revealed detail.
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_…).
Endpoint
Cost
Use it for
GET /v1/datasets/product_directory/fields[?include_values=1&q=]
free
Filter-field catalog + DSL grammar. Call first per session.
GET /v1/datasets/product_directory/values/:field[?q=&limit=]
free
Enumerate values for one field.
GET /v1/datasets/product_directory/check?filter=…
free
Validate a filter.
POST /v1/datasets/product_directory/translate-intent
free
{intent} → DSL filter + sanity count.
GET /v1/datasets/product_directory/search?filter=…&limit=&offset=
free
Brief cards (incl. dr) + per-row unlock hint + total.
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.
Try the call through a wrapper that sources .env.local:
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."
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
Field
Free in brief?
Use it for
dr
yes
Domain Rating 0–100 — the primary authority filter. Briefs come sorted by dr descending, so rank for free.
Real reach. Filterable while hidden (organic_traffic>=10000); value shows after unlock.
editor_note
gated
Submission instructions + backlink yes/no.
industry
yes
Coarse vertical refiner (software_saas, etc.); keyword on niche is usually sharper for AI sub-niches.
has
yes
Presence 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.
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
GET /v1/datasets/product_directory/:apex per domain — free brief with dr
(404 = not in catalog, no charge). Flag misses, rank hits by dr.
User picks N. POST /unlocks (10×N credits, atomic) reveals notes + traffic.
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.
position included; fix and re-validate with /check.
400
field_not_in_dataset
Drop the field.
400
invalid_apex
Re-normalize to apex.
401
unauthorized
Re-prompt for a fresh vk_….
402
insufficient_credits
needed/balance in payload; nothing charged.
404
not_found / not_in_dataset
Apex not in dataset. Skip; not charged.
429
rate_limited
Honor 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.
