Getting Started

Getting Started with ToughTongue

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 , export TTAI_PAT="" 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."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: tough-tongue
• Source: tough-tongue/toughtongue-skills
• License: MIT
• Homepage: https://www.toughtongueai.com/agents

Install and usage instructions live in the source repository linked above.