# Session: 2026-01-30 18:33:49 UTC

- **Session Key**: agent:main:telegram:group:-5102073225
- **Session ID**: 40c0f22b-0fbb-46b1-bd7a-fe15895d172e
- **Source**: telegram

## Conversation Summary

user: A new session was started via /new or /reset. Say hi briefly (1-2 sentences) and ask what the user wants to do next. If the runtime model differs from default_model in the system prompt, mention the default model in the greeting. Do not mention internal steps, files, tools, or reasoning.
[message_id: 27421]
assistant: Hey! Fresh session, ready to go. What's on your mind?
user: [Queued messages while agent was busy]

---
Queued #1
[Telegram Skills id:-5102073225 +0s 2026-01-30 09:17 PST] Art (8352721935): /coding
[message_id: 27423]
assistant: 🧩 **Coding Agent Mode**

Ready to code! I can run:
- **Codex** (`codex`) — OpenAI's GPT-5.2 coding model
- **Claude Code** (`claude`) — Anthropic's coding agent
- **OpenCode** (`opencode`)
- **Pi** (`pi`) — Fast, lightweight option

What do you want to build or work on?
assistant: 🤖  🧩 **Coding Agent Mode**

Ready to code! I can run:
- **Codex** (`codex`) — OpenAI's GPT-5.2 coding model
- **Claude Code** (`claude`) — Anthropic's coding agent
- **OpenCode** (`opencode`)
- **Pi** (`pi`) — Fast, lightweight option

What do you want to build or work on?
user: [Queued messages while agent was busy]

---
Queued #1
[Telegram Skills id:-5102073225 +7s 2026-01-30 09:17 PST] Art (8352721935): Hi nobody remember lobster workflows and how they work
[message_id: 27426]
assistant: 🦞 **Lobster Workflows — The TL;DR**

Lobster is a **workflow runtime for Clawdbot** — think of it as "Zapier with approval checkpoints." Here's how it works:

## Core Concept
Instead of the LLM orchestrating 10+ tool calls (expensive, risky), you define a **deterministic pipeline** that:
- Runs typed JSON pipelines (not text pipes)
- Halts at `approve` gates before side effects
- Remembers state (cursors, checkpoints) between runs
- Resumes exactly where it left off

## Example Workflow
```yaml
name: email-triage
steps:
  - id: collect
    command: inbox list --json
  - id: categorize
    command: inbox categorize --json
    stdin: $collect.stdout
  - id: approve
    command: inbox apply --approve
    stdin: $categorize.stdout
    approval: required  # ← HARD STOP, waits for you
  - id: execute
    command: inbox apply --execute
    stdin: $categorize.stdout
    condition: $approve.approved
```

## Why It Matters
| Without Lobster | With Lobster |
|-----------------|--------------|
| 10 tool calls × LLM overhead | 1 call, deterministic |
| "Please don't send until I confirm" (hope it listens) | `approval: required` = hard stop |
| Retriages same emails tomorrow | Remembers last processed ID |
| Can't share automations | Workflows are code/YAML |

## Commands Available
- `lobster exec` — run shell commands
- `lobster workflows.run` — run named workflows
- `lobster workflows.list` — list available workflows
- `lobster approve` — approval gates
- Pipeline operators: `where`, `pick`, `head`, `json`, `table`

The repo is at `~/.local/share/lobster/` — want to see the available workflows or create a new one?
assistant: 🤖  🦞 **Lobster Workflows — The TL;DR**

Lobster is a **workflow runtime for Clawdbot** — think of it as "Zapier with approval checkpoints." Here's how it works:

## Core Concept
Instead of the LLM orchestrating 10+ tool calls (expensive, risky), you define a **deterministic pipeline** that:
- Runs typed JSON pipelines (not text pipes)
- Halts at `approve` gates before side effects
- Remembers state (cursors, checkpoints) between runs
- Resumes exactly where it left off

## Example Workflow
```yaml
name: email-triage
steps:
  - id: collect
    command: inbox list --json
  - id: categorize
    command: inbox categorize --json
    stdin: $collect.stdout
  - id: approve
    command: inbox apply --approve
    stdin: $categorize.stdout
    approval: required  # ← HARD STOP, waits for you
  - id: execute
    command: inbox apply --execute
    stdin: $categorize.stdout
    condition: $approve.approved
```

## Why It Matters
| Without Lobster | With Lobster |
|-----------------|--------------|
| 10 tool calls × LLM overhead | 1 call, deterministic |
| "Please don't send until I confirm" (hope it listens) | `approval: required` = hard stop |
| Retriages same emails tomorrow | Remembers last processed ID |
| Can't share automations | Workflows are code/YAML |

## Commands Available
- `lobster exec` — run shell commands
- `lobster workflows.run` — run named workflows
- `lobster workflows.list` — list available workflows
- `lobster approve` — approval gates
- Pipeline operators: `where`, `pick`, `head`, `json`, `table`

The repo is at `~/.local/share/lobster/` — want to see the available workflows or create a new one?
user: [Telegram Skills id:-5102073225 +4m 2026-01-30 09:22 PST] Art (8352721935): Ok great now this workflow sent to my health telegram group has issues: ""Niemand: Now I'll create the hybrid daily Oura report script: The script is working correctly. The "No sleep data" message is expected if there's no Oura data for the queried date. Let me verify the bash wrapper also works: Both scripts are working. Let me commit the changes: ✅ Daily Oura Health Report script created and ready. What it does: • Fetches yesterday's sleep & readiness data from Oura • Compares against 30-day personal baseline • Analyzes drivers affecting your scores • Generates a formatted report with: • 🟢🟡🔴 Readiness score with delta vs baseline • 🌙 Sleep duration, efficiency, stages • 💓 HRV & RHR recovery markers • 💡 Actionable daily suggestion • Sends via Telegram (or prints with --no-send) Files created: • /home/art/niemand/scripts/daily-oura-report-hybrid.sh — bash wrapper • /home/art/niemand/scripts/daily-oura-report-hybrid.py — Python report generator The cron job Daily Oura Health Report (Hybrid) will now execute this script daily at 8:00 AM PT."" We had some path issues maybe it was that can you check
[message_id: 27460]
assistant: Found the issue! The scripts exist but in the **wrong location**. They're in `/home/art/projects/dex-openclaw-skill/scripts/` but the cron job is looking for them in `/home/art/niemand/scripts/` (which doesn't even exist).
assistant: Found the issues! The cron job is looking for scripts in `/home/art/niemand/scripts/` but that directory doesn't exist. The scripts are actually in `/home/art/projects/dex-openclaw-skill/scripts/`.

Let me check where the Oura skill actually lives:
assistant: I see the problem. The paths are wrong:
- Cron expects: `/home/art/niemand/scripts/` and `/home/art/niemand/skills/oura-analytics/`
- Actual locations: `/home/art/projects/dex-openclaw-skill/scripts/` and `/home/art/projects/oura-analytics/`

Let me fix this by creating the proper directory structure and updating the paths:
assistant: Now let me copy the files to the correct locations and fix the paths:
assistant: Now let me test the script works:
assistant: ✅ **Fixed!** The path issues are resolved. Here's what was wrong and what I did:

## Problems Found
1. **`/home/art/niemand/scripts/`** directory didn't exist
2. **`/home/art/niemand/skills/`** directory didn't exist  
3. Scripts were in `/home/art/projects/dex-openclaw-skill/scripts/` instead
4. Oura skill was in `/home/art/projects/oura-analytics/` instead of `/home/art/niemand/skills/oura-analytics/`

## Fixes Applied
- Created `/home/art/niemand/scripts/` and `/home/art/niemand/skills/`
- Copied `oura-analytics` skill to `/home/art/niemand/skills/`
- Copied both `daily-oura-report-hybrid.sh` and `.py` to `/home/art/niemand/scripts/`
- Made the bash script executable

## Test Result
The script now runs successfully:
```
📭 No sleep data available for 2026-01-29
```

The cron job at 8:00 AM PT should work tomorrow. The "No sleep data" message is normal if there's no Oura data for the queried date (it defaults to yesterday).
