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skillfoundry-products

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Implementation repo for Skillfoundry probes, internal mechanisms, and external MCP products.

MCP ServersOfficial Registry0 stars0 forksTypeScriptUpdated today
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/evanfollis/skillfoundry-products
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "skillfoundry-products": {
      "command": "node",
      "args": ["/path/to/skillfoundry-products/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/evanfollis/skillfoundry-products and follow its README for install instructions.
Use cases

MCP Servers overview

# skillfoundry-products

`skillfoundry-products` is the implementation repository for the probes, mechanisms,
and offerings that Skillfoundry builds and operates.

**Lifecycle:** active. This monorepo is the canonical source for its maintained
products, including Preflight.

**Verified today:** TypeScript workspace checks and both Python suites run
through the root gate. Registry publication is separate and occurs only from
pinned, checksum-verified OIDC workflows.

```bash
make setup
make check
```

See [docs/architecture.md](docs/architecture.md) for ownership boundaries,
artifact roles, and dated migration exceptions.

This repo has two different lanes on purpose:

- `mechanisms/`: internal factory tools that help Skillfoundry identify, design, and
  improve opportunities. These are not automatically public products.
- `products/`: external, user-facing software artifacts that have been selected for
  public deployment, distribution, and monetization.
- `templates/`: reusable implementation starters for future external product lanes.

Public product routing should stay platform-centric. The preferred external shape is:

- `https://skillfoundry.synaplex.ai/products/<product-slug>/...`

not one public hostname per product.

The distinction matters. Internal mechanisms help the agent system think and decide
better. External products are what we eventually sell or distribute through channels
such as AgenticMarket.

## Default External Stack

The default lane for new external MCP offerings or probes is now:

- TypeScript-first
- remote MCP over Streamable HTTP
- Cloudflare Workers for stateless offerings
- Skillfoundry-owned public routes for the canonical runtime surface

That keeps the runtime independent from any single marketplace while preserving a
simple path to distribution through registries and marketplaces later.

## Current Layout

- `mechanisms/bottleneck-radar/`: internal MCP mechanism for turning noisy source
  signals into ranked bottlenecks and builder-ready opportunity briefs.
- `products/launchpad-lint/`: first external MCP product candidate for auditing launch
  readiness and drafting marketplace launch packages.
- `templates/remote-skill-ts/`: default starter for new remote TypeScript MCP
  probes or offerings.

## Working Rule

Do not treat a mechanism as an offering by default.

A mechanism graduates into an offering only when Skillfoundry has made an explicit
decision that:

- the user-facing utility is clear,
- the deployment surface is chosen,
- the pricing or monetization path is chosen,
- and the artifact deserves its own external lifecycle.

## Factory Documents

- `docs/CASHFLOW_ENGINE.md`: repo-level operating loop for commercial probes and offerings
- `docs/BUILD_NEXT_PORTFOLIO.md`: current ranking of the next revenue lanes
- `docs/LEARNING_LAB.md`: standard for turning launches and failures into reusable learning
- `docs/HYPOTHESIS_TEMPLATE.md`: required hypothesis format for major changes
- `docs/SKILL_FACTORY_SCORECARD.md`: build-next scoring heuristic
- `docs/TELEMETRY_MODEL.md`: minimum telemetry and evidence envelope for compounding learning
- `docs/SKILL_PROPOSAL_TEMPLATE.md`: required pre-build probe template
- `docs/PORTFOLIO_INTAKE.md`: intake workflow for new product and suite ideas before they graduate into active builds
- `docs/POST_LAUNCH_REVIEW_TEMPLATE.md`: required after-launch learning template
- `docs/ADVERSARIAL_REVIEW_PRIMITIVES.md`: multi-lens skeptical review primitive for sharpening products and extracting reusable heuristics

## TypeScript Workspace Setup

The repo now includes a `pnpm` workspace for future TypeScript skills. If `pnpm` is not
installed globally, use `corepack`:

```bash
corepack pnpm install
```
cloudflare-workersdeveloper-toolsmcpmcp-registrynpmpreflightskillfoundrysmitheryvalidation

What people ask about skillfoundry-products

What is evanfollis/skillfoundry-products?

+

evanfollis/skillfoundry-products is mcp servers for the Claude AI ecosystem. Implementation repo for Skillfoundry probes, internal mechanisms, and external MCP products. It has 0 GitHub stars and was last updated today.

How do I install skillfoundry-products?

+

You can install skillfoundry-products by cloning the repository (https://github.com/evanfollis/skillfoundry-products) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is evanfollis/skillfoundry-products safe to use?

+

evanfollis/skillfoundry-products has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains evanfollis/skillfoundry-products?

+

evanfollis/skillfoundry-products is maintained by evanfollis. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to skillfoundry-products?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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