Directory submissions

IterableData discovery indexes are committed in this repository and deployed to GitHub Pages. Some directories require a maintainer submission. Do not commit API keys. Run these steps locally with your own credentials.

Status (2026-08-19)

Directory	Status	Action
MCP Registry (io.github.datenoio/iterabledata)	Live since 1.0.23	None — OIDC publish runs on tagged releases
GitHub Pages llms.txt / llms-full.txt	Live	Regenerate with python dev/scripts/generate_llms_txt.py
Context7	Pending maintainer	Submit repo or hosted llms.txt (below)
llmstxt.site directory	Pending maintainer	Submit form (below)
skills.sh	Pending telemetry	Install skill from repo once (below)

Canonical URLs to cite in every submission:

https://datenoio.github.io/iterabledata/llms.txt
https://datenoio.github.io/iterabledata/llms-full.txt
https://datenoio.github.io/iterabledata/.well-known/llms.txt
https://datenoio.github.io/iterabledata/skills/iterabledata/SKILL.md
https://github.com/datenoio/iterabledata
https://pypi.org/project/iterabledata/

Context7

Submit the GitHub repository (preferred — indexes docs + source) or the hosted llms.txt.

Web UI: context7.com/add-library

GitHub repository payload

{
  "docsRepoUrl": "https://github.com/datenoio/iterabledata"
}

Hosted llms.txt payload

{
  "llmstxtUrl": "https://datenoio.github.io/iterabledata/llms-full.txt"
}

API (requires a Context7 API key — create at context7.com)

# GitHub repo
curl -sS -X POST 'https://context7.com/api/v2/add/repo/github' \
  -H 'Authorization: Bearer ctx7sk-REPLACE_ME' \
  -H 'Content-Type: application/json' \
  -d '{"docsRepoUrl":"https://github.com/datenoio/iterabledata"}'

# Or llms.txt only
curl -sS -X POST 'https://context7.com/api/v2/add/llmstxt' \
  -H 'Authorization: Bearer ctx7sk-REPLACE_ME' \
  -H 'Content-Type: application/json' \
  -d '{"llmstxtUrl":"https://datenoio.github.io/iterabledata/llms-full.txt"}'

After approval, agents can resolve the library as /datenoio/iterabledata (exact ID is assigned by Context7).

llmstxt.site directory

Form: llmstxt.site/submit

Suggested fields:

Field	Value
Site name	IterableData
llms.txt URL	https://datenoio.github.io/iterabledata/llms.txt
llms-full.txt URL	https://datenoio.github.io/iterabledata/llms-full.txt
Repository	https://github.com/datenoio/iterabledata
PyPI	https://pypi.org/project/iterabledata/

Alternate explorer: llms-text.ai/request (GitHub issue workflow).

Note: GitHub Pages serves under /iterabledata/ (project site), not the org root. Submit the full URLs above, not datenoio.github.io/llms.txt.

skills.sh

skills.sh indexes skills after the Skills CLI records installs from a public GitHub repository. There is no manual listing form for new skills.

npx skills add datenoio/iterabledata --skill iterabledata

The skill file lives at skills/iterabledata/SKILL.md in this repository. It is also hosted at https://datenoio.github.io/iterabledata/skills/iterabledata/SKILL.md and linked from the ## Skills section of llms.txt.

Optional: add a skills.sh.json in the repo root after telemetry has seen the repository (see skills.sh documentation).

Verification checklist

After submitting, confirm:

1. MCP Registry search returns io.github.datenoio/iterabledata.
2. curl -sS https://datenoio.github.io/iterabledata/llms.txt | head returns the machine index.
3. curl -sS https://datenoio.github.io/iterabledata/skills/iterabledata/SKILL.md | head returns YAML frontmatter with name: iterabledata.
4. Context7 / llmstxt.site listings appear after their review queue (may take days).

Related

• Agent discovery — hosted indexes and MCP manifest
• Cookbook — fifteen prompt-shaped scripts
• MCP setup — pip install iterabledata[mcp] then iterable-mcp