# claude-skills-mcp - Doramagic AI Context Pack

> Purpose: pre-work context for the user's host AI. This pack does not prove that the project has been installed, run, or validated.

## Project

- canonical_name: `k-dense-ai/claude-skills-mcp`
- capability: - [juspay/neurolink](k-dense-ai/claude-skills-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL
- expected_user_outcome: - [juspay/neurolink](k-dense-ai/claude-skills-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL

## Operating Boundaries

- Do not claim that the project has been installed, run, called through an API, or used on local files unless separate evidence proves it.
- Project facts must come from repo evidence, Claim Graph, or explicit source references.
- When a capability is not verified, mark it as unverified instead of completing it as fact.
- publish_status: `publishable`
- blocking_gaps: none

---

## Doramagic Context Augmentation

The following sections strengthen the repository context for a host AI. Human Manual data is a reading route, and pitfall notes become operating constraints.

## Human Manual Outline

Usage rule: this is only a reading route and salience signal, not factual authority. Concrete claims must still return to repo evidence or Claim Graph.

Host AI hard rules:
- Do not treat page titles, section order, summaries, or importance values as factual project evidence.
- When explaining the Human Manual outline, state that it is only a reading route or salience signal.
- Capability, installation, compatibility, runtime state, and risk claims must cite repo evidence, source paths, or Claim Graph.

- **Overview & Two-Package Architecture**: importance `high`
  - source_paths: README.md, packages/frontend/src/claude_skills_mcp/mcp_proxy.py, packages/frontend/src/claude_skills_mcp/backend_manager.py, packages/backend/src/claude_skills_mcp_backend/http_server.py, packages/backend/src/claude_skills_mcp_backend/mcp_handlers.py
- **Skill Loading, Vector Search & Auto-Update**: importance `high`
  - source_paths: packages/backend/src/claude_skills_mcp_backend/skill_loader.py, packages/backend/src/claude_skills_mcp_backend/search_engine.py, packages/backend/src/claude_skills_mcp_backend/update_checker.py, packages/backend/src/claude_skills_mcp_backend/scheduler.py, packages/backend/src/claude_skills_mcp_backend/state_manager.py
- **MCP Tools, Configuration & Frontend Proxy**: importance `high`
  - source_paths: packages/backend/src/claude_skills_mcp_backend/mcp_handlers.py, packages/backend/src/claude_skills_mcp_backend/config.py, config.example.json, packages/frontend/src/claude_skills_mcp/__main__.py, packages/frontend/src/claude_skills_mcp/mcp_proxy.py
- **Deployment, Client Compatibility & Troubleshooting**: importance `high`
  - source_paths: packages/backend/Dockerfile, packages/backend/README.md, packages/backend/src/claude_skills_mcp_backend/__main__.py, packages/frontend/src/claude_skills_mcp/backend_manager.py, scripts/build-all.sh

## Repo Inspection Evidence

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `2595bd69dc1a922fa3c2fcc9258e20f7642b8ff9`
- inspected_files: `README.md`, `docs/architecture.md`, `docs/api.md`, `docs/usage.md`, `docs/_changelog.md`, `docs/testing.md`, `docs/getting-started.md`, `docs/auto-update.md`, `packages/frontend/pyproject.toml`, `packages/frontend/README.md`, `packages/backend/pyproject.toml`, `packages/backend/README.md`, `packages/frontend/src/claude_skills_mcp/__init__.py`, `packages/frontend/src/claude_skills_mcp/__main__.py`, `packages/frontend/src/claude_skills_mcp/backend_manager.py`, `packages/frontend/src/claude_skills_mcp/mcp_proxy.py`, `packages/backend/tests/test_update_checker.py`, `packages/backend/tests/conftest.py`, `packages/backend/tests/test_background_loading.py`, `packages/backend/tests/test_skill_loader.py`

Host AI hard rules:
- Without repo_clone_verified=true, do not claim that the source code has been read.
- Without repo_inspection_verified=true, do not write README, docs, or package-file conclusions as facts.
- Without quick_start_verified=true, do not claim that the Quick Start path has run successfully.

## Doramagic Pitfall Constraints

These rules come from Doramagic discovery, validation, or compilation findings. The host AI must treat them as operating constraints, not background notes.

### Constraint 1: Configuration risk requires verification

- Trigger: Project evidence flags a configuration risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | cevd_89d42546abe14de4920a1710883f0c21 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/4
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 2: Security or permission risk requires verification

- Trigger: Project evidence flags a security or permission risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | cevd_b675c30cf1f247968d5423dc667787d8 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/7
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 3: Installation risk requires verification

- Trigger: Developers should check this installation risk before relying on the project: Backend fails to install on macOS x86_64 (Intel) — PyTorch has no compatible wheels
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Backend fails to install on macOS x86_64 (Intel) — PyTorch has no compatible wheels. Context: Observed when using python, windows, macos, linux
- Why it matters: Developers may fail before the first successful local run: Backend fails to install on macOS x86_64 (Intel) — PyTorch has no compatible wheels
- Evidence: failure_mode_cluster:github_issue | fmev_db8b3d22ee0758dad0bf51ec4c8896a9 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/13
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 4: Installation risk requires verification

- Trigger: Developers should check this installation risk before relying on the project: Integration with ai-agent-skills
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Integration with ai-agent-skills. Context: Observed when using node
- Why it matters: Developers may fail before the first successful local run: Integration with ai-agent-skills
- Evidence: failure_mode_cluster:github_issue | fmev_002c29655ab3908a3ee515b54df2ce0b | https://github.com/K-Dense-AI/claude-skills-mcp/issues/7
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 5: Installation risk requires verification

- Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | cevd_10247512c34842958321501a9c716683 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/13
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 6: Installation risk requires verification

- Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | cevd_85a8d45a7a1c48248e5c29b0d1d10337 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/17
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 7: Configuration risk requires verification

- Trigger: Project evidence flags a configuration risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: capability.host_targets | art_e028765b20a84b04af53db21f9414116 | https://github.com/punkpeye/awesome-mcp-servers#readme
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 8: Configuration risk requires verification

- Trigger: Developers should check this configuration risk before relying on the project: Codex shows 'No MCP tools available' while claude-skills tools are callable
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Codex shows 'No MCP tools available' while claude-skills tools are callable. Context: Observed when using python, macos
- Why it matters: Developers may misconfigure credentials, environment, or host setup: Codex shows 'No MCP tools available' while claude-skills tools are callable
- Evidence: failure_mode_cluster:github_issue | fmev_9c0155406f689e1323dda4ddef20ea06 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/11
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 9: Configuration risk requires verification

- Trigger: Developers should check this configuration risk before relying on the project: Port conflict on startup (address already in use) with custom frontend --port in MCP clients
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Port conflict on startup (address already in use) with custom frontend --port in MCP clients. Context: Observed when using python, macos
- Why it matters: Developers may misconfigure credentials, environment, or host setup: Port conflict on startup (address already in use) with custom frontend --port in MCP clients
- Evidence: failure_mode_cluster:github_issue | fmev_d7242c7ea6c8b750e59ca7cd18464f49 | https://github.com/K-Dense-AI/claude-skills-mcp/issues/12
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 10: Configuration risk requires verification

- Trigger: Developers should check this configuration risk before relying on the project: Question about auth approach
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Question about auth approach. Context: Source discussion did not expose a precise runtime context.
- Why it matters: Developers may misconfigure credentials, environment, or host setup: Question about auth approach
- Evidence: failure_mode_cluster:github_issue | fmev_63c4fc984cbeb30d50abef9502dd3aea | https://github.com/K-Dense-AI/claude-skills-mcp/issues/16
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.