tensorpm-agentic-pm
12
总安装量
10
周安装量
#26930
全站排名
安装命令
npx skills add https://github.com/neo552/tensorpm-releases --skill tensorpm-agentic-pm
Agent 安装分布
mcpjam
10
claude-code
10
replit
10
junie
10
windsurf
10
zencoder
10
Skill 文档
TensorPM Skill
Use this skill for AI-powered, context-driven project management inside a running TensorPM desktop app. TensorPM itself is free. For AI capabilities outside MCP (A2A), use your own API key (BYOK) or create an account.
When To Use
- You need to list, create, or update TensorPM projects or action items.
- You need to switch/list workspaces.
- You need to set AI provider keys through TensorPM (
set_api_key). - You need conversational project-level changes via A2A (
message/send).
When Not To Use
- The request is only about website/account/billing pages.
Installation (Agent CLI)
Use one of these agent-friendly CLI install methods:
# macOS
brew install --cask neo552/tensorpm/tensorpm
# Windows (PowerShell)
winget install --id Neo552.TensorPM --exact --accept-package-agreements --accept-source-agreements
# macOS / Linux fallback installer script
curl -fsSL https://raw.githubusercontent.com/Neo552/TensorPM/main/scripts/install.sh | bash
# Windows fallback installer script
irm https://raw.githubusercontent.com/Neo552/TensorPM/main/scripts/install.ps1 | iex
Runtime Prerequisites
- Start TensorPM desktop app.
- For MCP usage with external AI clients: ensure client integration is installed once (via Settings -> Integrations or A2A
POST /integrations/mcp/install). - For A2A usage: verify local endpoint
http://localhost:37850.
MCP vs A2A Routing
| Task | Use | Why |
|---|---|---|
| Structured action-item CRUD | MCP tools | Direct typed operations |
| Set provider API keys | MCP set_api_key |
Dedicated secure write-only tool |
| Project-wide/contextual changes | A2A message/send |
Managed by project manager agent |
| HTTP-based automation/client integration | A2A REST/JSON-RPC | Endpoint-first integration path |
| Multi-turn planning with conversation state | A2A with contextId |
Native conversation continuity |
Rule of thumb:
- Prefer MCP for explicit CRUD operations.
- Prefer A2A for high-level intent and context-aware planning.
Minimal Workflow
- Verify TensorPM is running.
- Choose MCP vs A2A via the routing table above.
- Execute operation.
- Read back result (
list_*,get_project, or A2A read endpoint) to confirm state. - Summarize applied changes and any follow-up action.
References
- MCP Tools: tool catalog and usage boundaries.
- A2A API: discovery, JSON-RPC methods, REST endpoints, examples.
- Action Items & Dependencies: fields, dependency types, payload examples.
Notes
- IDs are UUIDs.
- Dates use ISO format (
YYYY-MM-DD). propose_updatesrequires human approval before apply.- MCP and A2A operate on the same local TensorPM data.
- Release notes: https://github.com/Neo552/TensorPM-Releases/releases/latest