Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web.
Install Ingest
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Prismer-AI/PrismerCloud ingest --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .claude/skills/ingest && rm -rf skills-srcUse ~/.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/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .claude/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingestType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Prismer-AI/PrismerCloud ingest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .agents/skills/ingest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .agents/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Prismer-AI/PrismerCloud ingest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .cursor/skills/ingest && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .cursor/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Prismer-AI/PrismerCloud.git --path sdk/cloud/catalog/skills/ingest--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Prismer-AI/PrismerCloud ingest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .gemini/skills/ingest && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .gemini/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Prismer-AI/PrismerCloud ingestInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .github/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .github/skills/ingest && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .github/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill ingest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Prismer-AI/PrismerCloud ingest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sdk/cloud/catalog/skills/ingest .opencode/skills/ingest && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/ingest into .opencode/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ingest- GitHub stars
- 1.6k
- Token cost
- ~934 tokens
- SKILL.md length
- 419 words
- Files
- 1
- Skills in repo
- 88
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web.
- Works in 4 steps: Decide: single URL load? Batch? Or… → Default to --format hqcc (compressed).… → Run cloud load / cloud search and… → …
- The user gives a URL
- SKILL.md covers When to use, CLI Reference, Workflow and Operating Rules, plus 2 more sections
- Reaches a.com and b.com
What it does
Ingest is an agent skill from Prismer-AI/PrismerCloud. Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web. Use whenever the user gives a URL, asks you to read a webpage, or wants top-K pages on a topic. Executes via the cloud load and cloud search CLIs. For local document parsing (PDF text + OCR), use the liteparse skill instead.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Document parsing and Web search. The licence is MIT.
When your agent uses it
- The user gives a URL
- Asks you to read a webpage
- Wants top-K pages on a topic
Example prompts
- “/ingest”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Decide: single URL load? Batch? Or search query?
- Default to --format hqcc (compressed). Use raw only when exact wording, code, or tables are needed.
- Run cloud load / cloud search and capture: source URLs, titles, cache status, cost.
- Base downstream reasoning only on the returned content. If a load failed, say so; don't pretend you read it.
What it can do on your machine
Read from SKILL.md and the folder at commit e5d9444. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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:
a.comb.comc.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ingest loads about 934 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 419 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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 Prismer-AI/PrismerCloud at commit e5d9444, republished under its MIT licence (© Prismer-AI). 419 words, ~934 tokens.
Download SKILL.mdSave it as
.claude/skills/ingest/SKILL.md (or your agent's skills folder).- name
- ingest
- description
- Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web. Use whenever the user gives a URL, asks you to read a webpage, or wants top-K pages on a topic. Executes via the `cloud load` and `cloud search` CLIs. For local document parsing (PDF text + OCR), use the `liteparse` skill instead.
- scope
- common
Ingest
Use this skill to bring external web content into the LLM context window without copy-pasting raw HTML or burning tokens on uncompressed prose:
- Web content →
cloud load/cloud search→ returns HQCC (a compressed, LLM-optimized form). Cache hits are free.
Local documents (PDF text extraction + OCR) are handled by the
liteparseskill, not here — it's a local-first, zero-network tool with Tesseract + PDFium bundled.ingestcovers web URLs only.
If your runtime registers the
workspace_web_search/web_loadtools (Hermes agents do), prefer them over the CLI — same workspace-billed cloud lane (/api/context/load). Never script HTTP viaexecute_code/subprocess for web research.
When to use
- The user pastes a URL or asks "what does this page say".
- The user asks to research a topic ("AI agent frameworks 2025") — use
searchto fetch top-K relevant pages. - A task description contains URLs that need to be resolved into actual content before the assignee can act.
Attached PDFs / images / scans → use the
liteparseskill (local-first PDF text + OCR), notingest.
CLI Reference
# Single URL → HQCC
cloud load https://example.com
cloud load https://example.com --format raw # exact wording / code / tables (more tokens)
# Batch (up to 50 URLs)
cloud load https://a.com https://b.com https://c.com
# Search → load (fetch top-K relevant pages)
cloud search "AI agent frameworks 2025"
cloud search "topic" -k 10
# Pre-save to cache (e.g. content you scraped elsewhere)
cloud context save https://example.com "compressed content"Workflow
For web URLs
- Decide: single URL load? Batch? Or search query?
- Default to
--format hqcc(compressed). Userawonly when exact wording, code, or tables are needed. - Run
cloud load/cloud searchand capture: source URLs, titles, cache status, cost. - Base downstream reasoning only on the returned content. If a load failed, say so; don't pretend you read it.
Operating Rules
Show full SKILL.md (189 more words)Show less
Load / Search
- Prefer cached context. Don't re-process the same source — the service handles cache lookup automatically; just don't re-issue identical loads in tight loops.
- Preserve source URLs in your notes and citations. The HQCC return retains origin pointers; use them.
- Don't claim to have read a source until the load succeeds. If it fails (404, blocked, timeout), report the failed URL and continue only with clearly stated assumptions or ask for a better source.
--format rawcosts more tokens. Only use when the user needs exact wording (legal text, code snippets, tables that compress badly).- For batch loads, the service runs them concurrently up to a limit; you don't need to throttle yourself.
- For a document / image / scan (not a web page), hand off to the
liteparseskill —ingestdoes not do OCR or PDF extraction.
Output reporting
After load/search:
- One-line summary per source:
<title> · <url> · cache_hit | fresh · <cost> - Then proceed with the user's actual question, citing the source by URL.
Backing capabilities (D22 mapping)
Replaces the v1.x built-in skill context-load. Local document OCR /
extraction (formerly parse-document, backed by the now-retired
parser.prismer.dev service) moved to the local-first liteparse skill.
© Prismer-AI, 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 sdk/cloud/catalog/skills/ingest of Prismer-AI/PrismerCloud.
Open the folder on GitHubat commit e5d9444
Compare with similar skills
Ingest 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ingest this skillPrismer-AI/PrismerCloud | 1.6k | — | ~934 | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| DOCX ToolkitXiaomiMiMo/MiMo-Code | 14k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Huashu Markdown Publishing Pipelinealchaincyf/huashu-md-html | 910 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Jev SEOAgriciDaniel/jev-seo | 543 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Markitdownjimmc414/Kosmos | 595 | 2 repos | ~1.7k | Automated safety check: Pass | None |
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DOCX Toolkit
XiaomiMiMo/MiMo-Code
Produces, edits and reads Microsoft Word files through python-docx and lxml, with a decision table for picking the lightest workflow for a given task.
Huashu Markdown Publishing Pipeline
alchaincyf/huashu-md-html
Converts files and web pages into clean Markdown, then turns Markdown into polished HTML, Word, PDF and EPUB using four templates.
Jev SEO
AgriciDaniel/jev-seo
Full live SEO audit of any website from its homepage URL, powered by Jev (TypeSafe's System One model).
Markitdown
jimmc414/Kosmos
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing.
Liteparse
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A skill your agent uses whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or pull text, tables, or specific values out of it — to answer a question…
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Related
Categories
Questions about Ingest
What does Ingest do?
Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web. Ingest is an agent skill from Prismer-AI/PrismerCloud. Turn external web URLs into LLM-ready content — load + cache web pages (HQCC compression) and search the web.
When should I use Ingest?
Ingest fits situations like: the user gives a URL; asks you to read a webpage; wants top-K pages on a topic.
How do I install Ingest in Claude Code?
Run `npx skills add Prismer-AI/PrismerCloud --skill ingest -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/ingest in Prismer-AI/PrismerCloud) into .claude/skills/ingest in your project. Claude Code loads it when a task matches its description.
How do I install Ingest in Codex?
Run `npx skills add Prismer-AI/PrismerCloud --skill ingest -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/ingest in Prismer-AI/PrismerCloud) into .agents/skills/ingest in your project. Codex loads it when a task matches its description.
Can I use Ingest 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 Prismer-AI/PrismerCloud --skill ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ingest, .gemini/skills/ingest, .github/skills/ingest and .opencode/skills/ingest in your project.
What does Ingest need to run?
SKILL.md names no scripts, command-line tools or credentials: Ingest is instructions for the agent only.
Does Ingest access the network?
SKILL.md names 3 domains. In commands or code: a.com, b.com and c.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Ingest safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ingest use?
Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ingest use?
About 934 tokens (SKILL.md is roughly 3.7k 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 Ingest?
Skills that share tags, products or a category with Ingest: Markitdown (ImCa0/just-laws, 781 stars), DOCX Toolkit (XiaomiMiMo/MiMo-Code, 14k stars), Huashu Markdown Publishing Pipeline (alchaincyf/huashu-md-html, 910 stars) and Jev SEO (AgriciDaniel/jev-seo, 543 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ingest?
Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on September 30, 2026.
Source: Prismer-AI/PrismerCloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.