Facilitates asking questions to teammates and managing self-reflection within the Egregore system.
Install
mkdir -p .claude/skills/ask-egregore-labs && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17482" && unzip -o skill.zip -d .claude/skills/ask-egregore-labs && rm skill.zipInstalls to .claude/skills/ask-egregore-labs
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Ask an asynchronous Egregore question to a teammate when the user invokes /ask or $ask, or help the current user formulate inward reflection questions.Key capabilities
- →Resolve the current author from state or git config
- →Load people from memory files
- →Draft concrete questions for a target teammate
- →Send questions to a target teammate
- →Generate questions for user self-reflection
How it works
The skill resolves the target teammate, drafts questions, and sends them asynchronously, or generates questions for the user's self-reflection if no target is specified.
Inputs & outputs
When to use ask
- →Ask teammate a question
- →Track project inquiries
- →Self-reflection
About this skill
Egregore Ask
Native Codex Egregore skill. Use this when the user wants to ask a teammate a question, run a topic by someone, or inspect pending questions for themselves.
Flow
- Run
bin/agent.sh sync. - Resolve the current author from
.egregore-state.json, then git config. - Load people from
memory/people/*.md. Match target names against filename,name:,github:, and heading text, case-insensitively. Strip leading@. - If the user named a target, draft one to four concrete questions. In
connected mode, optionally gather context with
bin/graph.shqueries, but suppress raw JSON and continue from memory files if graph access fails. - Preview the exact questions and target. Use structured Codex question tooling when available; otherwise render:
Send these questions?
1. Send as-is
2. Edit
Other:
- For each approved question, run:
bin/agent.sh ask --from "$AUTHOR" --to "$TARGET" --topic "$TOPIC" --question "$QUESTION"
Add harvest flags only when this ask is part of a harvest:
--harvest-id, --harvest-session-id, --turn, --question-intent, and
--context-mode.
- In connected mode, notify best-effort with:
bash bin/notify.sh send "$TARGET" "$AUTHOR has a question about \"$TOPIC\". Ask for \$activity to answer."
- Report the created
memory/knowledge/questions/...path.
Inward Mode
If no target matches, do not create a question file. Generate a small set of questions for the user to answer in-session, grounded in current conversation and memory context. Offer to save the result as a reflection only after the user answers.
Rules
- Person-targeted asks are asynchronous: store, optionally notify, then stop.
- Local mode is filesystem-only; skip graph and notification calls.
- Do not use Claude Code commands.
When not to use it
- →When the user wants to use Claude Code commands
- →When the user wants to use graph or notification calls in local mode
- →When the user wants to ask a question that is not asynchronous
Limitations
- →Does not use Claude Code commands
- →Person-targeted asks are asynchronous
- →Local mode is filesystem-only
How it compares
This skill focuses on asynchronous question asking and self-reflection, providing structured question drafting and delivery, unlike direct conversational queries.
Compared to similar skills
ask side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ask (this skill) | 0 | 1mo | Review | Beginner |
| team-collaboration-standup-notes | 1 | 3mo | No flags | Intermediate |
| 然而 / conversation / 风一样的坑爹哥 | 0 | 4mo | No flags | Beginner |
| internal-comms | 8 | 3mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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