Getting started

Skill tough-tongue/toughtongue-skills/skills/getting-started

Agent skills and MCP server for Tough Tongue AI. Create voice-agent scenarios, refine them from real transcripts, and analyze session performance from Claude Code, Codex, or Cursor.

Install

npx -y skills add tough-tongue/toughtongue-skills --skill getting-started

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Onboard a user to the Tough Tongue AI plugin: verify the MCP connection and PAT, look at what's in their account, and route them into their first workflow. This skill should be used when the user says "get started with Tough Tongue AI", "set up Tough Tongue AI", "is my Tough Tongue AI MCP working", "test my Tough Tongue AI connection", "what can I do with Tough Tongue AI", or has just installed the plugin. Not for creating, refining, or analyzing scenarios directly — hand off to scenario-creator, scenario-refiner, or session-analyst for those.

SKILL.md

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Getting Started with Tough Tongue AI

Verify the setup, orient around the user's account, and launch their first journey. Keep each step short — this is a welcome mat, not a manual.

Step 1: Verify the connection

Call the ttai MCP tool list_organizations.

Tools not found — the MCP server is not registered. Ask how they installed:
- Plugin install: restart the agent app fully and start a new thread; the plugin registers the server via its bundled .mcp.json.
- Skills-only install (skills.sh / Cursor): register manually — codex mcp add ttai --url https://api.toughtongueai.com/api/public/mcp --bearer-token-env-var TTAI_PAT (Codex) or claude mcp add --transport http ttai https://api.toughtongueai.com/api/public/mcp --header "Authorization: Bearer ${TTAI_PAT}" (Claude Code).
401 / auth error — the PAT is not visible to the agent process. Walk through: create a token at https://app.toughtongueai.com/developer, export TTAI_PAT="<token>" in the shell profile, on macOS also launchctl setenv TTAI_PAT "$TTAI_PAT", then fully quit and reopen the agent app. NEVER ask the user to paste the token into the chat.
Success — report what came back: personal account only, or organizations (name them). Explain that org work needs org_id passed to tools, and this happens automatically in the other skills.

Step 2: Orient around the account

Call list_scenarios, and list_sessions with a small limit.

Summarize in 2-3 sentences what exists: how many scenarios, whether sessions have been run, whether analyses are present. This decides the recommended first journey below.

Step 3: Launch the first journey

Offer the paths that fit what Step 2 found, then invoke the matching skill:

Account state	Recommend	Skill
Empty (no scenarios)	Create a first practice scenario from a brief, URL, or call transcript	scenario-creator
Scenarios but few sessions	Share a practice link; or create a scenario for an upcoming meeting	scenario-creator
Sessions with analyses	Team/scenario performance report	session-analyst
Low-scoring or complained-about scenario	Diagnose and fix it from real transcripts	scenario-refiner

Close by showing 2-3 of these prompts as things to try next (pick the ones matching their account state):

"Pull the last 3 calls from Gong where we lost on pricing and create a practice scenario for that objection."
"For my discovery-call scenario, pull the last 50 sessions — what are the top 5 improvement areas?"
"Pull the 5 lowest-scoring sessions for our onboarding scenario and fix the scenario."
"I have a call with [name] from [company] in 30 minutes — create a quick practice scenario so I can rehearse."