sf-docs▌
jaganpro/sf-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Use this skill to retrieve and ground answers in official Salesforce documentation on the public web.
sf-docs
Use this skill to retrieve and ground answers in official Salesforce documentation on the public web.
This skill is intentionally simple:
- no local corpus
- no indexing
- no benchmark workflow
- no helper CLI dependency
- no PDF fallback
Its job is to provide a reliable online retrieval playbook for Salesforce docs that are hard to fetch, especially help.salesforce.com, JS-heavy developer.salesforce.com, Lightning Design System docs on lightningdesignsystem.com, and other official Salesforce-owned doc pages such as architect.salesforce.com and admin.salesforce.com.
An optional wrapper script is available at:
skills/sf-docs/scripts/extract_salesforce_doc.py
It automatically routes help.salesforce.com URLs into the dedicated Help extractor and supports other official documentation pages such as *.salesforce.com and lightningdesignsystem.com through a generic browser-rendered path. For bot-sensitive pages, it also supports best-effort optional stealth mode via --stealth when playwright-stealth is installed.
The dedicated Help extractor is also available directly at:
skills/sf-docs/scripts/extract_help_salesforce.py
Core Goal
Find the best official Salesforce HTML page online and extract enough real content to answer confidently.
If the evidence is weak, say so clearly instead of forcing a weak answer.
When to Use
Use sf-docs when a user asks for:
- official Salesforce documentation
- Apex, API, LWC, metadata, Agentforce, setup, or help articles
- docs from
developer.salesforce.com - docs from
help.salesforce.com - pages that look JS-heavy, shell-rendered, or difficult to read with ordinary fetches
Official Sources Only
Prefer Salesforce-owned documentation sources:
developer.salesforce.comhelp.salesforce.comarchitect.salesforce.comadmin.salesforce.comlightningdesignsystem.com- other relevant official Salesforce documentation pages when Salesforce uses them as the source of truth
Avoid third-party blogs, videos, or summary articles unless the user explicitly asks for them.
Do not fall back to PDFs.
Retrieval Workflow
1. Classify the request first
Before fetching anything, identify the likely doc family.
| Family | Typical Source | Use For |
|---|---|---|
| Developer docs | developer.salesforce.com/docs/... |
Apex, APIs, LWC, metadata, Agentforce developer docs |
| Help docs | help.salesforce.com/... |
setup, admin, product configuration |
| Architect/Admin docs | architect.salesforce.com/..., admin.salesforce.com/... |
best practices, patterns, well-architected guidance, admin enablement |
| Design system docs | lightningdesignsystem.com/... |
SLDS, Cosmos, design tokens, component and styling guidance |
| Legacy atlas docs | developer.salesforce.com/docs/atlas.en-us.* |
older official guide and reference docs |
2. Identify the exact concept
Extract the real target before you search:
- exact API/class/method name
- exact feature name
- exact product phrase
- exact setup concept
Examples:
Lightning Message ServiceWire ServiceSystem.StubProviderAgentforce ActionsMessaging for In-App and Web allowed domains
3. Prefer targeted official retrieval
Do not broad-crawl Salesforce docs.
Instead:
- identify the most likely official guide root or article
- if search is needed, restrict it to official Salesforce domains only
- fetch that official page
- check whether the exact concept actually appears on the page
- if not, inspect and follow the most relevant 1–3 official child links
- stop once you have grounded evidence
4. Do not stop at broad landing pages
A guide landing page is not enough unless it clearly contains the exact requested concept.
This is especially important for:
- LWC docs
- Agentforce docs
- broad platform guide homepages
- help landing pages that link to the real article
5. For developer.salesforce.com
Use this playbook:
- start with the most likely official guide root
- if the page is JS-heavy, prefer browser-rendered extraction
- check whether the exact concept appears on the page
- if the concept is missing, inspect official child links and follow the best matching 1–3 links
- prefer exact concept pages over broad guide roots
- legacy atlas pages are valid if they are the real official reference for the concept
6. For help.salesforce.com
Help pages often fail with naive fetching.
Use this playbook:
- prefer exact
articleView?id=...URLs when available - use browser-rendered extraction when plain fetch returns shell content
- treat outputs like
Loading,Sorry to interrupt,CSS Error, or mostly chrome/navigation text as failed extraction, not evidence - look for the real article body, not just header, nav, or footer text
- reject shell pages and soft-404 pages such as:
- "We looked high and low but couldn't find that page"
- generic empty help shells
- if starting from a nearby guide or hub page, follow linked Help articles until you reach the real article body
- if extraction still fails after targeted retries, return the best official Help URLs you found and explicitly say that article-body extraction was unsuccessful
Acceptance Rules
A page is good enough to answer from only when at least one of these is true:
- the exact identifier appears on the page
- the exact concept phrase appears on the page
- multiple query-specific phrases appear in the correct official context
A page is not good enough when:
- it is only a broad landing page
- it is a shell page with little real article text
- it is from the wrong product area
- it does not contain the requested identifier or concept
- it is a third-party explanation when an official page should exist
Rejection Rules
Reject these as final evidence:
- broad guide homepages without the exact concept
- release notes when a concept/reference page is expected
- admin blog posts when developer docs are requested
- third-party blogs when official docs are available
- shell-rendered pages with no real article body
- pages whose titles sound right but whose body does not contain the requested concept
Grounding Requirements
When answering, include:
- guide/article title
- exact official URL
- source type:
- developer doc page
- atlas reference page
- help article page
- any caveat if extraction was partial or browser-rendered
If evidence is weak, say so plainly.
Examples
Example: Lightning Message Service
Do not stop at the general LWC guide root. Find the exact LWC page for Lightning Message Service or follow the most relevant child links from the LWC docs until the exact concept appears.
Example: Wire Service
Do not answer from the LWC homepage unless Wire Service is actually present there.
Follow the relevant child doc page for wire service or wire adapters.
Example: Agentforce Actions
Do not answer from a broad Agentforce landing page or a blog post. Find the official Agentforce developer page for actions, or follow the best matching child pages from the official Agentforce docs.
Example: Messaging for In-App and Web allowed domains
Prefer official Help articles and browser-rendered extraction. Reject generic help shells. Follow linked Help articles from nearby official messaging docs if needed.
Example: System.StubProvider
Prefer the official Salesforce reference/developer page where the exact identifier appears. Do not substitute a broader Apex landing page if the identifier is absent.
Non-Goals
This skill should not:
- maintain a local documentation corpus
- rely on a local index
- use PDF fallback
- run benchmark workflows
- depend on repo-specific scripts to be useful
Cross-Skill Role
Other sf-* skills should use sf-docs when they need authoritative Salesforce documentation instead of relying on generic search alone.
How to use sf-docs on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add sf-docs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches sf-docs from GitHub repository jaganpro/sf-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate sf-docs. Access the skill through slash commands (e.g., /sf-docs) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★44 reviews- ★★★★★Lucas Sethi· Dec 28, 2024
Useful defaults in sf-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Dec 20, 2024
Useful defaults in sf-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Fatima Brown· Dec 8, 2024
We added sf-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Evelyn Farah· Dec 8, 2024
Solid pick for teams standardizing on skills: sf-docs is focused, and the summary matches what you get after install.
- ★★★★★Pratham Ware· Dec 4, 2024
sf-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amina Sethi· Dec 4, 2024
sf-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Olivia Yang· Nov 27, 2024
Keeps context tight: sf-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakura Sanchez· Nov 27, 2024
sf-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noah Li· Nov 27, 2024
I recommend sf-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Brown· Nov 23, 2024
sf-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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