MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types.
Install Sf AI Agentforce
$ npx skills add Jaganpro/sf-skills --skill sf-ai-agentforce -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jaganpro/sf-skills sf-ai-agentforce --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/Jaganpro/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sf-ai-agentforce .claude/skills/sf-ai-agentforce && 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 "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .claude/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforceType 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 Jaganpro/sf-skills --skill sf-ai-agentforce -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jaganpro/sf-skills sf-ai-agentforce --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sf-ai-agentforce .agents/skills/sf-ai-agentforce && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .agents/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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 Jaganpro/sf-skills --skill sf-ai-agentforce -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jaganpro/sf-skills sf-ai-agentforce --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sf-ai-agentforce .cursor/skills/sf-ai-agentforce && 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 "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .cursor/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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/Jaganpro/sf-skills.git --path skills/sf-ai-agentforce--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 Jaganpro/sf-skills --skill sf-ai-agentforce -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jaganpro/sf-skills sf-ai-agentforce --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sf-ai-agentforce .gemini/skills/sf-ai-agentforce && 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 "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .gemini/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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 Jaganpro/sf-skills sf-ai-agentforceInstalls 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 Jaganpro/sf-skills --skill sf-ai-agentforce -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sf-ai-agentforce .github/skills/sf-ai-agentforce && 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 "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .github/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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 Jaganpro/sf-skills --skill sf-ai-agentforce -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jaganpro/sf-skills sf-ai-agentforce --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sf-ai-agentforce .opencode/skills/sf-ai-agentforce && 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 "sf-ai-agentforce" agent skill from https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-ai-agentforce into .opencode/skills/sf-ai-agentforce/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-ai-agentforce", 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
sf-ai-agentforce- GitHub stars
- 424
- Token cost
- ~2.6k tokens
- SKILL.md length
- 919 words
- Files
- 12 (incl. references)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types.
- Works in 9 steps: Confirm this is a Builder / Setup UI… → Pick Service Agent vs Employee Agent → For Service Agents, provision the… → …
- : user maintains
- SKILL.md covers When This Skill Owns the Task, Required Context to Gather First, Two Agentforce Paths and Builder Workflow Summary, plus 6 more sections
- Calls sf
What it does
Sf AI Agentforce is an agent skill from Jaganpro/sf-skills. Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types. TRIGGER when: user maintains or configures Builder metadata agents, creates topics/actions, works with Prompt Builder templates, or touches .genAiFunction, .genAiPlugin, or .genAiPromptTemplate metadata XML files. DO NOT TRIGGER when: Agent Script DSL .agent files (use sf-ai-agentscript), agent testing (use sf-ai-agentforce-testing), or persona design…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `CREDITS.md`, `README.md` and `references/builder-workflow.md`). Compatibility notes: Requires API v66.0+ (Spring '26)
It sits in Agent Workflows, covering Agent evaluation and testing. The repository describes itself as: [ARCHIVED — migrated to forcedotcom/afv-library] Salesforce Skills for Agentic Coding Tools — Apex, Flow, LWC, SOQL, Agentforce, Data Cloud, OmniStudio. Read-only archive; active… The licence is MIT.
When your agent uses it
- : user maintains
- Configures Builder metadata agents
- Creates topics/actions
- Works with Prompt Builder templates
Example prompts
- “/sf-ai-agentforce”
Requirements
- Compatibility (from SKILL.md): Requires API v66.0+ (Spring '26)
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Confirm this is a Builder / Setup UI project
- Pick Service Agent vs Employee Agent
- For Service Agents, provision the running user (prefer sf org create agent-user)
- For Employee Agents, plan visibility with a Permission Set containing
- Define topics with strong descriptions, scope, and instructions
- Prepare supporting actions (Flow, Apex, Prompt Builder template)
- Configure inputs / outputs carefully
- Validate dependencies and template status
- Publish, then activate
What it can do on your machine
Read from SKILL.md and the folder at commit 53c9956. 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
Shell commands in SKILL.md call:
sf
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Compatibility
Requires API v66.0+ (Spring '26)
From compatibility in the SKILL.md frontmatter.
Context cost
Sf AI Agentforce loads about 2.6k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 919 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 Jaganpro/sf-skills at commit 53c9956, republished under its MIT licence (© Jaganpro). 919 words, ~2,564 tokens.
Download SKILL.mdSave it as
.claude/skills/sf-ai-agentforce/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- sf-ai-agentforce
- description
- Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types. TRIGGER when: user maintains or configures Builder metadata agents, creates topics/actions, works with Prompt Builder templates, or touches .genAiFunction, .genAiPlugin, or .genAiPromptTemplate metadata XML files. DO NOT TRIGGER when: Agent Script DSL .agent files (use sf-ai-agentscript), agent testing (use sf-ai-agentforce-testing), or persona design (use sf-ai-agentforce-persona).
- compatibility
- Requires API v66.0+ (Spring '26)
- license
- MIT
- metadata.version
- 2.2.0
- metadata.author
- Jag Valaiyapathy
sf-ai-agentforce: Standard Agentforce Platform Development
Use this skill for the Setup UI / Agent Builder path: declarative topics, Builder-managed actions, GenAiFunction / GenAiPlugin metadata, Prompt Builder templates stored as GenAiPromptTemplate metadata, Models API usage from Apex, and custom Lightning types.
For new code-first agent development, prefer sf-ai-agentscript.
If the work produces or edits a
.agentfile — including Builder Script / Canvas work that results in an authoring bundle — use sf-ai-agentscript.
When This Skill Owns the Task
Use sf-ai-agentforce when the user is:
- maintaining existing Builder-based agents
- working in Setup → Agentforce → Agents
- creating or fixing
GenAiFunction,GenAiPlugin, orGenAiPromptTemplatemetadata - wiring Builder topics to Flow / Apex / Prompt Builder actions
- using Models API or LightningTypeBundle in the context of Builder-based agents
Do not use it for:
.agentfiles or deterministic FSM design → sf-ai-agentscript- agent test suites and coverage loops → sf-ai-agentforce-testing
- persona / voice design → sf-ai-agentforce-persona
Required Context to Gather First
Ask for or infer:
- whether this is a Builder / Setup UI project or a code-first Agent Script project
- whether the user is editing Builder metadata or a
.agentauthoring bundle - agent type: Service Agent or Employee Agent
- whether the work targets topics, actions, Prompt Builder templates, Models API, or custom Lightning types
- what supporting Flow / Apex / metadata dependencies already exist
- whether the user needs authoring help, publish help, or troubleshooting
Two Agentforce Paths
| Path | Skill | Best fit |
|---|---|---|
| Builder metadata path | sf-ai-agentforce | Declarative maintenance, existing Builder agents, metadata-driven action registration |
| Agent Script authoring bundle path | sf-ai-agentscript | Code-first .agent authoring, deterministic routing, version-controlled agent logic |
If the user is starting from scratch and wants strong control over flow/state, route to Agent Script.
Builder Workflow Summary
- Confirm this is a Builder / Setup UI project
- Pick Service Agent vs Employee Agent
- For Service Agents, provision the running user (prefer
sf org create agent-user) - For Employee Agents, plan visibility with a Permission Set containing
<agentAccesses> - Define topics with strong descriptions, scope, and instructions
- Prepare supporting actions (Flow, Apex, Prompt Builder template)
- Configure inputs / outputs carefully
- Validate dependencies and template status
- Publish, then activate
Expanded workflow: references/builder-workflow.md
Key Platform Rules
Topic quality matters
Topic descriptions are routing instructions for the planner. They must be:
- specific
- scenario-based
- non-overlapping with sibling topics
Actions are wrappers around real targets
| Target type | Typical use | Registered via |
|---|---|---|
| Flow | safest default for Builder actions | GenAiFunction |
| Apex | complex business logic via @InvocableMethod | GenAiFunction |
| Prompt Builder template | generated summaries / drafts / recommendations | GenAiFunction |
Prompt Template vs GenAiPromptTemplate
- Prompt Template is the plain-English / UI term used in Prompt Builder.
GenAiPromptTemplateis the current Metadata API type for source-driven template work.- Prefer current source format:
genAiPromptTemplates/*.genAiPromptTemplate-meta.xml. - For flexible Prompt Builder templates, plan around the 5-input maximum and consolidate inputs when needed.
- Prompt content should reference inputs with the current merge-field shape, e.g.
{!$Input:TargetRecord}or{!$Input:AdditionalContext}.
Supporting metadata deploys first
Before publishing the agent itself, deploy the supporting stack:
- metadata / fields if needed
- Apex if needed
- Flows if needed
GenAiPromptTemplate/GenAiFunction/GenAiPlugin- then publish the agent
Service Agent running user
For Service Agents, prefer the native GA command:
sf org create agent-user --target-org <alias> --json
Use the returned username in the running-user configuration.
Employee Agent visibility
For Employee Agents, ensure end users receive a Permission Set containing <agentAccesses>. Without this, the agent can be active but still invisible in Lightning Experience.
See ../sf-permissions/references/agent-access-guide.md.
Show full SKILL.md (366 more words)Show less
Publish does not activate
After publish, run sf agent activate separately.
For automation, prefer sf agent activate --api-name <AgentName> --version <n> --target-org <alias> --json so the rollout is deterministic and machine-readable.
Metadata Guidance
GenAiFunction
Use when registering a single callable action. Validate:
- target exists
- target is active / deployable
- input names match the target contract
- output names match the target contract
- capability text clearly says when the action should be used
GenAiPlugin
Use when grouping related functions into one logical package.
GenAiPromptTemplate
Use for generated content, not deterministic business rules.
Prefer the current metadata shape:
- metadata type:
GenAiPromptTemplate - folder:
genAiPromptTemplates/ - file suffix:
.genAiPromptTemplate-meta.xml - content lives under
templateVersions - use published template versions before wiring actions that depend on them
Models API
Use when the solution belongs in Apex-driven AI orchestration rather than Builder-only actions.
Custom Lightning Types
Use when the action needs richer structured input or output presentation.
Expanded references:
Cross-Skill Integration
Recommended Orchestration Order
sf-metadata → sf-apex → sf-flow → sf-ai-agentforce → sf-deployRequired delegations
| Requirement | Delegate to | Why |
|---|---|---|
| Create / fix Flows | sf-flow | Action target creation and Flow validation |
| Create / fix Apex actions | sf-apex | @InvocableMethod and Apex correctness |
| Deploy / publish | sf-deploy | Deployment orchestration |
| Test the agent | sf-ai-agentforce-testing | Formal test execution and assertions |
| Employee Agent visibility / access | sf-permissions | Permission Set <agentAccesses> setup |
High-Signal Failure Patterns
| Symptom | Likely cause | Read next |
|---|---|---|
| Action not available in Builder | target metadata missing or not deployed | references/metadata-reference.md |
| Prompt action fails during publish or activation | template is Draft, missing inputs, or old metadata shape is being used | references/genaiprompttemplate.md |
| Need more than 5 template inputs | flex template input limit hit | references/genaiprompttemplate.md |
| Apex AI logic times out | Models API work placed in the wrong context | references/models-api.md |
| Rich input/output UI not rendering | Lightning type config or prerequisites are incomplete | references/custom-lightning-types.md |
| Agent publishes but is not usable | forgot explicit activation | references/cli-commands.md |
| Service Agent publish/runtime failure | missing or invalid running user | ../sf-ai-agentscript/references/agent-user-setup.md |
| Employee Agent active but not visible to users | missing <agentAccesses> permission set | ../sf-permissions/references/agent-access-guide.md |
Reference Map
Start here
- references/builder-workflow.md
- references/metadata-reference.md
- references/genaiprompttemplate.md
- references/cli-commands.md
Terminology and template planning
Rubric
Cross-skill reads
Score Guide
| Score | Meaning |
|---|---|
| 90+ | Ready to deploy |
| 80–89 | Strong, minor cleanup only |
| 70–79 | Review before deploy |
| 60–69 | Needs work |
| < 60 | Block deployment |
Full rubric: references/scoring-rubric.md
© Jaganpro, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 11 other files (references) in skills/sf-ai-agentforce of Jaganpro/sf-skills.
- SKILL.md
- CREDITS.md
- LICENSE
- README.md
- references/builder-workflow.md
- references/cli-commands.md
- references/custom-lightning-types.md
- references/genaiprompttemplate.md
- references/metadata-reference.md
- references/models-api.md
- references/prompt-templates.md
- references/scoring-rubric.md
Open the folder on GitHubat commit 53c9956
Compare with similar skills
Sf AI Agentforce 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 |
|---|---|---|---|---|---|---|
| Sf AI Agentforce this skillJaganpro/sf-skills | 424 | — | ~2.6k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Superpowers Sessionsobra/superpowers | 297k | 3 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Skill Release Gaterohitg00/ai-engineering-from-scratch | 66k | — | ~1k | Automated safety check: Pass | MIT | |
| CodeGraph Agent Evalcolbymchenry/codegraph | 74k | — | ~950 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Sf AI Agentforce
What does Sf AI Agentforce do?
Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types. Sf AI Agentforce is an agent skill from Jaganpro/sf-skills. Agentforce Builder metadata path for Builder-managed topics/actions, Prompt Builder templates, GenAiFunction/GenAiPlugin, Models API, and custom Lightning types.
When should I use Sf AI Agentforce?
Sf AI Agentforce fits situations like: : user maintains; configures Builder metadata agents; creates topics/actions; works with Prompt Builder templates.
How do I install Sf AI Agentforce in Claude Code?
Run `npx skills add Jaganpro/sf-skills --skill sf-ai-agentforce -a claude-code`. Or copy the skill folder (skills/sf-ai-agentforce in Jaganpro/sf-skills) into .claude/skills/sf-ai-agentforce in your project. Claude Code loads it when a task matches its description.
How do I install Sf AI Agentforce in Codex?
Run `npx skills add Jaganpro/sf-skills --skill sf-ai-agentforce -a codex`. Or copy the skill folder (skills/sf-ai-agentforce in Jaganpro/sf-skills) into .agents/skills/sf-ai-agentforce in your project. Codex loads it when a task matches its description.
Can I use Sf AI Agentforce 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 Jaganpro/sf-skills --skill sf-ai-agentforce -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sf-ai-agentforce, .gemini/skills/sf-ai-agentforce, .github/skills/sf-ai-agentforce and .opencode/skills/sf-ai-agentforce in your project.
What does Sf AI Agentforce need to run?
Going by SKILL.md and its folder, Sf AI Agentforce needs the command-line tools its instructions call (sf). Compatibility (from SKILL.md): Requires API v66.0+ (Spring '26).
Does Sf AI Agentforce access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sf AI Agentforce 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 Sf AI Agentforce use?
Sf AI Agentforce is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sf AI Agentforce use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 18k tokens, read only when the agent opens those files.
What are the alternatives to Sf AI Agentforce?
Skills that share tags, products or a category with Sf AI Agentforce: MCP Server Builder (anthropics/skills, 180k stars), Diagnosing Superpowers Sessions (obra/superpowers, 297k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Skill Release Gate (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sf AI Agentforce?
Jaganpro (a GitHub user) maintains it in Jaganpro/sf-skills, which has 424 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on April 27, 2026.
Source: Jaganpro/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.