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Use before any research task, experiment, or PR review. Loads current project state from DISCOVERIES.md, open questions, and recent Telegram discussion.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use periodically (weekly or before a release) to find stale numbers, outdated descriptions, broken links, and inconsistencies across the codebase. Run after merging multiple PRs or before preparing a meeting report.
Use before a Sutro Group meeting to compile results and prepare a presentation report.
Use when running a new experiment. Follows the two-phase protocol from LAB.md.
Use at the start of any session and before pushing. Syncs Telegram, Google Docs, and GitHub state for the Sutro Group research workspace.
Use at the start of a weekly session. Syncs all sources and generates a catch-up summary.
Use when drafting, editing, or reviewing any prose to detect and remove AI writing patterns including overused vocabulary (delve, tapestry, landscape), formulaic structures (binary contrasts, rule of three), throat-clearing openers, business jargon, and other LLM tells
| name | sutro-context |
| description | Use before any research task, experiment, or PR review. Loads current project state from DISCOVERIES.md, open questions, and recent Telegram discussion. |
Load this before doing any research work, running experiments, or reviewing PRs.
Read these in order. Stop and report if anything is unexpected.
Read the last 10 messages from priority Telegram topics:
import json
for f in ['chat-yad.json', 'chat-yaroslav.json', 'challenge-1-sparse-parity.json']:
path = f'src/sparse_parity/telegram_sync/{f}'
try:
msgs = json.load(open(path))
print(f'\n=== {f} (last 3) ===')
for m in msgs[:3]:
print(f" [{m['date'][:10]}] {m['sender']}: {m['text'][:150]}")
except FileNotFoundError:
print(f'{f} not found -- run: bun run sync_telegram.ts')
Check GitHub for open work:
gh pr list --repo cybertronai/SutroYaro --state open
gh issue list --repo cybertronai/SutroYaro --state open
| Fact | Value |
|---|---|
| Best method | GF(2) Gaussian elimination, 509us, ARD ~500 |
| Best energy proxy | DMC (Data Movement Complexity, Ding et al.) |
| Experiments done | 33+ (see research/log.jsonl) |
| Open questions | Bottom of DISCOVERIES.md (Q7, Q11-Q13 still open) |
| Next milestone | Energy-efficient nanoGPT training ("final exam") |
| Meeting cadence | Mondays 18:00 at South Park Commons |
research/search_space.yaml for allowed parameter rangesresearch/questions.yaml for the dependency graph of open questionschecks/env_check.py to verify environmentchecks/baseline_check.py if baselines may differ on your machineThis context applies regardless of which AI tool you use. The key files are plain markdown and YAML. Read them before starting work. The experiment protocol in LAB.md and AGENT.md defines the loop: hypothesis, code, run, measure, record.