Complete AI coding workflow system. Orchestration patterns, 18 hook events, 8 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.
SkillScore86Maintained
Automatic
◆Coding pack
Last verified 8/13/2026
What it changes
Passed 18 of 21 test cases with the skill, and 7 of 21 without it.
Without skill32%
With skill86%
Checks it passed that the model alone missed
The response sets the effort parameter to xhigh.
The response maps fast feature iteration to `dev` mode.
The response maps read-only security audits to `review` mode.
and 14 more in the full report
12 fixed7 passed either way3 still failing0 broke
Pass-rate lift
+55 pp
Tokens
+198%
Agent turns
0%
Response time
-60%
Model gemini-3.6-flashMeasured 8/13/2026v1 · latest is v219 of 22 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.6-flash on 10/2/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
By default, context auto-compacts at 95% capacity, which is too late for our context-heavy project. Which environment variable should be exported to trigger proactive auto-compaction when context reaches 50% capacity?
What was checked, without and with the skill
Checked
Without skill
With skill
The response specifies setting `CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=50`.
Missed
Passed
case-08 · gemini-3.6-flash · 8/13/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md556 linessingle file
Pro Workflow
Complete AI coding workflow system from production use. Orchestration patterns, reference guides, and battle-tested habits that compound over time.
Works with: Claude Code, Cursor, Codex, Gemini CLI, and 32+ AI coding agents via skills add. Sections marked (Claude Code) use features specific to Claude Code — Cursor users can skip those or use the noted alternatives.
The Core Insight
"80% of my code is written by AI, 20% is spent reviewing and correcting it." — Karpathy
This skill optimizes for that ratio. Every pattern here reduces correction cycles.
1. The Self-Correction Loop
The single most powerful pattern. Your CLAUDE.md trains itself through corrections.
How It Works
When you correct Claude:
Claude acknowledges the mistake
Proposes a rule to prevent it
You approve → rule goes into memory
Future sessions avoid the same mistake
Add to CLAUDE.md
## Self-Correction Protocol
When the user corrects me or I make a mistake:
1. Acknowledge specifically what went wrong
2. Propose a concise rule: `[LEARN] Category: One-line rule`
3. Wait for approval before adding to LEARNED section
### LEARNED
<!-- Auto-populated through corrections -->