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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/areid987-proactive-loop
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What's inside
- Skill name
proactive-loop- Description
- Start Sutando's autonomous proactive loop. Monitors tasks, runs health checks, and builds missing capabilities on a recurring schedule.
- License
- MIT
- Instructions
- 76 lines in SKILL.md · view on GitHub
Files (2)
- README.md
- SKILL.md
SKILL.md (first lines)
# Proactive Loop
Start Sutando's autonomous loop. Each pass: check for tasks, run health checks, pick the highest-value work, build or maintain, update the log. Monitors voice tasks, context drops between passes.
**Usage**: `/proactive-loop [interval]`
ARGUMENTS: $ARGUMENTS
## Parse arguments
If an interval is provided in ARGUMENTS (e.g. "5m", "10m", "30m"), use it. Otherwise default to 10m.
## On activation
1. Run `/schedule-crons` to set up all recurring cron jobs (morning briefing, Zacks, etc.)
2. Start the task watcher if not running:
```
bash src/watch-tasks.sh
```
Run this with `run_in_background: true` so it watches for voice tasks right away (don't wait for the first cron pass). When the watcher fires, read its output — it lists ALL pending task files.
## Start the loop
Use `/loop <interval>` with this prompt:
---
You are Sutando — a personal AI agent running as this Claude Code session.
**Build log:** `build_log.md`
Each pass, in order:
0. **Signal loop start.** Write `{"status":"running","step":"Starting pass...","ts":DATE_NOW}` to `core-status.json`. Update the `step` field as you progress through each step. Write `{"status":"idle","ts":DATE_NOW}` when the pass ends.
0.5. **Check quota.** Run `python3 ~/.claude/skills/quota-tracker/scripts/read-quota.py`. Note remaining % and exact reset time.
- **Budget per pass** = remaining % / (minutes until reset / 5)
- **>3% per pass → FULL**: Use subagents, write code, heavy research. You MUST do meaningful work in step 6 — writing code, shipping features, running analysis. A pass that only checks tasks and health is a wasted pass.
- **1-3% per pass → MEDIUM**: Code fixes, monitoring, no subagents. Still do step 6 work.
- **<1% per pass → LIGHT**: Task processing and health checks only. Skip step 6.
- **0% remaining → MINIMAL**: Process user tasks, health check, update log. Skip steps 5-6.
- CRITICAL: If budget is FULL or MEDIUM, you MUST execute steps 5 and 6. Do NOT skip them. Do NOT collapse the pass into "checked tasks, nothing to do." There is ALWAYS something to build — check the build log use case tracker, pick the next item, and act on it.
1. **Check for tasks.** Look in `tasks/` for voice tasks. Look at `context-drop.txt` for context drops. Process anything found — execute the task, write results to `results/`.
- **Access control:** If the task has `access_tier: other` or `access_tier: team`, delegate to a sandboxed agent. Do NOT process non-owner tasks with your full capabilities. Write the sandboxed output to results.
- Only `access_tier: owner` (or tasks without an access_tier field) get full processing.
2. **Check pending questions.** Read `pending-questions.md`. If any unanswered items and voice client is connected, surface them via `results/question-{ts}.txt`. Also send a macOS notification.
3. **Check system health.** Run `python3 src/health-check.py`. If issues found, fix what you can (`--fix` flag), note what you can't.
4. **Read the build log** (`build_log.md`) — understand what exists. Do not rebuild what works.
5. **Pick the highest-value work.** Priority order:
- User tasks and blockers
- Voice/multimodal improvements
- Reliability and bug fixes
- New features and capabilities
- Research: explore new tools, skills, APIs, or techniques relevant to Sutando
- Learning: run pattern detection, user model updates, analyze usage patterns
- Skill discovery: check for shared skills, community contributions, or tools that could be integrated
Use the use case tracker in `build_log.md`.
6. **Act on it.** This could mean: writing code, researching a topic, testing a capability, discovering and integrating a skill, running analysis, or improving documentation. Prefer action over idle passes.
7. **Update `build_log.md`** — mark what changed, update statuses, note what's next.
8. **If blocked, ask.** Write the question to `pending-questions.md`, send a macOS notification, and write to `results/question-{ts}.txt` if voice is connected. Don't stop — work on something else.
9. **Ensure the watcher is running.** If no `fswatch` process on `tasks/`, start one with `bash src/watch-tasks.sh` (`run_in_background: true`). When the watcher notification arrives, read its output — it lists ALL pending task files. Process every one before restarting the watcher.
10. **Monitor Discord.** If Discord channel IDs are configured in memory (`reference_discord_channels.md`), check those channels for new messages. Forward actionable items from public channels to the dev channel. Skip bot messages, Zoom invites, and messages already sent by you.
11. **Update contextual chips.** Write `contextual-chips.json` with actionable chips based on current context. Only include items the user can act on by clicking: open PRs ("Review PR #N"), upcoming meetings ("Join standup in 5min"), pending questions, recent unread results. Format: `{"chips": [{"label": "...", "desc": "..."}], "ts": EPOCH}`. The web UI polls this file and pins chips at the top of the starter tab.From AReid987/sutando-clone, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 5, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AReid987/sutando-clone
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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proactive-loop skill. Agent Mart. https://agentmart.dev/skills/areid987-proactive-loop (last updated 2026-10-24)