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Skills/rag-knowledge/Chat With Your Doc

Chat With Your Doc

REVIEW · 61
Community indexed

Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

Downloads0
Stars140
Version1.0.0
Quality43/100 · Needs review
Trust61/100 · Sandbox only
Audit60/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + OpenAI Agents + LangChain

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add linjungz/chat-with-your-doc

Maintenance

stale

3y since push

Risk

Needs review

License is unclear

GitHub quality

140

43/100 quality · 69/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeembeddingsretrieval

Review notes

License is unclear · Repository appears stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Needs review
43

Inspect the repository carefully before adding it to an agent workflow.

Trust

Sandbox only
61

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
60

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonEmbeddingsCodexClaude CodeCursor

Stars

140 GitHub stars

Repo activity

140 stars, 48 forks

Maintenance

3y since push

License

Unknown

Install

npx skills add linjungz/chat-with-your-doc

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 140 stars, 48 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

PythonEmbeddingsCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsLangChain

Install decision

Command
npx skills add linjungz/chat-with-your-doc
Policy
review
Human review
yes

Trust and risk

Trust
61/100
Audit
60/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add linjungz/chat-with-your-doc
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • License is unclear
  • Repository appears stale

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Agent safety v2

44/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • License is unclear

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add linjungz/chat-with-your-doc

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Chat%20With%20Your%20Doc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Chat%20With%20Your%20Doc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/linjungz-chat-with-your-doc/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Chat With Your Doc in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Chat%20With%20Your%20Doc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/linjungz-chat-with-your-doc/install
Install command: npx skills add linjungz/chat-with-your-doc
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/linjungz-chat-with-your-doc/install

LLM text format

/api/skills/linjungz-chat-with-your-doc/install?format=text

Find alternatives

/api/skills/search?q=Chat%20With%20Your%20Doc&limit=3

Agent prompt

Use Chat With Your Doc for this task. Review https://www.openagentskill.com/api/skills/linjungz-chat-with-your-doc/install, then install with: npx skills add linjungz/chat-with-your-doc

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/linjungz-chat-with-your-doc

LLM text

/api/registry/manifest/linjungz-chat-with-your-doc?format=text

Install alias

/api/registry/install/linjungz-chat-with-your-doc

Recommend

/api/registry/recommend?task=Use%20Chat%20With%20Your%20Doc%20in%20an%20agent%20workflow&limit=3

Agent fit

34/100

RAG and knowledge

Use-case tags

RAG and knowledgeDocument processingCoding agents

Platforms

Python, Embeddings, Claude Code, OpenAI Agents, LangChain

Audit report

Needs review · 60/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Needs validation for RAG and knowledge

Do a manual repository review before adding this to an agent workflow.

34
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

RAG and knowledge

Trust label

Needs manual review

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 43/100 quality profile
  • 3 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

61
Trust score

GitHub adoption

INFO

140 GitHub stars

Stars/forks activity

CHECK

140 stars, 48 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

3y since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 140 stars, 48 forks; issue activity unavailable in current metadata
  • Recent maintenance: 3y since push
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

43
GitHub stars
140
Freshness
3y ago
Install ready
Yes
License
Unknown
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Parse messy files

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

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Overview

Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
embeddingsFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
7/14/2026
Published
7/12/2026

Frameworks & Tools

PythonEmbeddings

Decision snapshot

Needs validation

34
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

60
Needs review
Security
81/100
Maintenance
20/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Chat With Your Doc, ready for a manual X post.

Curator note
Most agents can draft slides. The hard part is choosing the right deck workflow.

Chat With Your Doc helps agents turn briefs, docs, or research notes into editable deck workflows.

140 stars

https://www.openagentskill.com/skills/linjungz-chat-with-your-doc?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Chat With Your Doc:
https://www.openagentskill.com/skills/linjungz-chat-with-your-doc?ref=x

Install: npx skills add linjungz/chat-with-your-doc
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
linjungz
Source
linjungz/chat-with-your-doc
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to linjungz but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/linjungz-chat-with-your-doc?metric=listed&label=Listed)](https://www.openagentskill.com/skills/linjungz-chat-with-your-doc)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/linjungz-chat-with-your-doc?metric=trust&label=Trust)](https://www.openagentskill.com/skills/linjungz-chat-with-your-doc)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/linjungz-chat-with-your-doc?metric=audit&label=Audit)](https://www.openagentskill.com/skills/linjungz-chat-with-your-doc/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/linjungz-chat-with-your-doc?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/linjungz-chat-with-your-doc)
Preview badge Open audit Creator Kit

Author

L

linjungz

@linjungz

Tags

embeddingsretrievalknowledgeazureazure-openai-servicechatgptgpt-4langchainopenaivectorstore

Platform Fit

Claude CodeOpenAI AgentsLangChain

Health Signals

GitHub stars
140
Quality score
34/100
Last GitHub push
Aug 5, 2023
Framework hints
2
OpenAgentSkill views
3
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

61
  • GitHub adoption140 GitHub starsINFO
  • Stars/forks activity140 stars, 48 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3y since pushFIX
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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