Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Check Telegram bot configuration and guide setup if anything is missing.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Check if the Telegram bot is properly configured by reading config files. Do NOT use Bash — use the Read tool only.
Read each of these files and verify the required values:
Read .env in the project root. Check for:
TELEGRAM_BOT_TOKEN — must exist and be non-emptyTELEGRAM_OWNER_ID — must exist (numeric Telegram user ID)CHANNEL_AUTO_START — must be trueCHANNEL_PROJECT_ROOT — the absolute path to the project the daemon works with (e.g., C:\dev\projects\agent-studio). Task executors use this as their working directory for git, file, and code operations. If missing, defaults to the daemon's startup directory.TELEGRAM_ALLOWED_USERS — recommended (comma-separated user IDs)ANTHROPIC_API_KEY or CLAUDE_CODE_OAUTH_TOKEN — needed for headless monitor authRead ~/.claude/channels/telegram/access.json (path: C:\Users\oimir\.claude\channels\telegram\access.json). Check for:
allowFrom array with at least one user IDRead ~/.claude/channels/telegram/.env (path: C:\Users\oimir\.claude\channels\telegram\.env). Check for:
TELEGRAM_BOT_TOKEN presentRead .claude/.mcp.json. Check for:
telegram-relay key in mcpServersShow a simple checklist:
Telegram Setup Status:
[x] .env: Bot token configured
[x] .env: Owner ID: 6521653928
[x] .env: CHANNEL_AUTO_START=true
[x] .env: CHANNEL_PROJECT_ROOT=C:\dev\projects\agent-studio
[x] .env: Allowed users: 6521653928
[x] .env: Auth token configured (API key or OAuth token)
[x] Voice: transcribe-anything installed (pip)
[x] MCP: telegram-relay registered
[x] access.json: 1 allowed user
[x] channels/.env: token present
For any [ ] items, tell the user exactly what to add and where.
If both ANTHROPIC_API_KEY and CLAUDE_CODE_OAUTH_TOKEN are missing, tell the user:
! claude setup-token in your terminal, then add CLAUDE_CODE_OAUTH_TOKEN=<token> to .env"ANTHROPIC_API_KEY=sk-ant-... to .env (get one from console.anthropic.com)"If everything passes: "All configured! Run /enable-telegram to start monitoring."
Voice message support (optional): If the user wants voice messages to be transcribed, they need:
pip install transcribe-anything — Whisper-based speech-to-text (required for voice)ELEVENLABS_API_KEY or OPENAI_API_KEY in .env — for TTS audio responses (optional)transcribe-anything, voice messages get a "please type instead" fallbackまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。