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dailybothq/agent-skill308 installs

dailybot-ask

Ask the Dailybot AI a question from the terminal and read the answer, non-interactively. Runs headless — a single `dailybot ask "<question>"` prints the assistant's reply to stdout (or structured JSON with `--json`), so an autonomous agent (Claude Code, CI, a bot) can query the Dailybot AI with only an API key. Use when the developer or agent says "ask Dailybot ...", "query the Dailybot AI", "what does Dailybot say about ...", or wants a one-shot answer from Dailybot's assistant. Distinct from dailybot-chat (bot messages to Slack/Teams) and dailybot-report (progress to the dashboard).

How do I install this agent skill?

npx skills add https://github.com/dailybothq/agent-skill --skill dailybot
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The Dailybot skill pack is a comprehensive and well-architected integration for team coordination. It demonstrates an excellent security posture, featuring robust CLI installation verification with checksums and cross-origin diffing, extensive defensive guidance against prompt injection in user data, and a mandatory credential scanner for outgoing emails. Legitimate features such as autonomous reporting hooks and per-form extensibility are implemented transparently with requirements for user consent.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

Dailybot Ask

Requires dailybot-cli >= 3.9.0 (the skill-pack baseline) — the dailybot ask command and full API-key parity on the AI chat. On much older CLIs the AI chat only exists as the interactive TUI (dailybot interactive) and requires a login session. If dailybot ask --help is not recognized, ask the developer to run dailybot upgrade. See ../SKILL.md § Required Dailybot CLI version.

You ask the Dailybot AI assistant a question and read its answer — without opening an interactive UI. This is the headless counterpart of the full-screen chat (dailybot ask with no message, or the deprecated dailybot interactive):

dailybot ask "What are my pending check-ins?"

prints the assistant's answer to stdout and exits. That makes it the primary way an autonomous agent talks to the Dailybot AI: it needs no TTY, no menu, and works with only DAILYBOT_API_KEY (the server resolves the acting user from the key's owner).

It is not:

  • dailybot-chat — that sends bot messages to Slack / Teams / Discord / Google Chat. ask talks to the AI, it does not post to a channel.
  • dailybot-report — that posts a progress update to the Dailybot dashboard.
  • dailybot-messages — that polls the agent-to-agent inbox.

When to Use

Trigger phrases the agent should recognize:

  • "ask Dailybot …", "ask the Dailybot AI …", "query Dailybot"
  • "what does Dailybot say about …", "get an answer from Dailybot"
  • "have Dailybot summarize my check-ins / forms / standup"
  • Any time an agent wants a one-shot, machine-readable answer from the Dailybot assistant to feed back into its own reasoning.

Do not use dailybot ask to post something to the team — that's dailybot-chat (chat platform) or dailybot-report (dashboard).


Step 1 — Verify Setup

Read and follow the authentication steps in ../shared/auth.md. The AI chat accepts either a login session or an org API key — an agent with only DAILYBOT_API_KEY set can use dailybot ask directly.

Confirm the command exists (dailybot-cli >= 3.9.0):

dailybot ask --help 2>&1 | head -1

If the command is unknown, the CLI is too old — ask the developer to dailybot upgrade, then continue with the primary task (never block on it).


Step 2 — Ask (one-shot, headless)

# Plain text answer to stdout:
dailybot ask "In one sentence, what did my team ship this week?"

# Structured JSON (recommended for agents — easy to parse):
dailybot ask "What forms do I have?" --json

# Piped question (equivalent to passing it as an argument):
echo "draft my standup update" | dailybot ask

# Continue a prior turn by reusing its session id:
dailybot ask "tell me more" --session-id <previous-session-id>
  • Text mode prints the assistant's reply verbatim to stdout (markup off, no reflow — safe to capture).
  • --json emits a single object:
    {"message": "<assistant reply>", "actions": [...], "classification": "direct_response|full_agent", "session_id": "<id or null>"}
    
    Read message for the answer; actions lists any suggested follow-up actions; session_id (when present) can be passed to the next --session-id call to keep context.
  • Errors surface via standard exit codes (see ../shared/auth.md for the shared table); --json prints {"error": ..., "status": ...}.

Interactive mode (humans)

If a human wants a back-and-forth conversation instead of one-shot answers, run dailybot ask with no message — it opens the full-screen Textual chat session. (dailybot interactive is a deprecated alias for the same thing.) Agents should stick to the headless one-shot form above.


Step 3 — Rate limits

The AI chat endpoint is throttled to 30 requests/minute per API key. Normal agent usage (a few questions per minute) is well within that. On a 429, dailybot ask exits with the rate-limit code and a "Rate limit exceeded. Try again in Ns." message; in --json mode the payload carries retry_after_seconds. Back off for that many seconds — do not hammer the endpoint in a loop.


Step 4 — HTTP Fallback (when the CLI is unavailable)

See ../shared/http-fallback.md for base patterns.

Endpoint: POST /v1/cli/chat/completions/ — accepts either X-API-KEY or a Bearer login token.

curl -s -X POST "https://api.dailybot.com/v1/cli/chat/completions/" \
  -H "X-API-KEY: $DAILYBOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"message": "What are my pending check-ins?"}'

Optional body fields: session_id (continue a session), history / messages (prior turns as {role, content}), reset_thread. The response is { status, async, correlation_id, classification, message: {role, content}, actions } — read message.content for the answer. A 429 sets the Retry-After header.


Non-Blocking Rule

If the CLI is missing, too old, auth fails, or the endpoint errors: warn the developer briefly, continue the primary task, do not retry in a loop.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/dailybothq/agent-skill/dailybot">View dailybot-ask on skillZs</a>