From nerd
Reference for identifying tunable parameters in codebases. Use when scanning for research targets — hardcoded thresholds, magic numbers, heuristic weights, prompt templates, pipeline budgets.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nerd:codebase-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**High:** Search/ranking weights, resolution thresholds, AI prompt efficiency, token budgets
High: Search/ranking weights, resolution thresholds, AI prompt efficiency, token budgets Medium: Temporal decay rates, cache TTLs, batch/concurrency limits, scoring formulas Lower: Animation timing, layout defaults, retry/backoff parameters
# Constants and config values
grep -rn "const\|DEFAULT_\|THRESHOLD\|LIMIT\|MAX_\|MIN_\|TIMEOUT\|BATCH\|WEIGHT\|BOOST\|DECAY"
# Float comparisons (thresholds)
grep -rn ">= 0\.\|<= 0\.\|> [0-9]\.\|< [0-9]\."
# Prompt templates
grep -rn "system_prompt\|systemPrompt\|PROMPT\|template\|instructions"
# Tuning TODOs
grep -rn "TODO.*tun\|FIXME.*threshold\|TODO.*calibrat\|TODO.*magic"
experiment_type: "parameter_sweep" or "comparison" or "ablation"experiment_type: "analytical" — suitable for /nerd batch analysis but NOT for /nerd-loopnpx claudepluginhub shawnroos/shrimpshack --plugin nerdScans codebase for files and functions with tunable parameters, magic numbers, scoring logic, or prompt templates optimizable via autoresearch against metrics. Use to discover candidates before /autoresearch.
Runs iterative experiments to optimize measurable metrics (speed, accuracy, config). Manages .lab/ directory for experiment history and autonomous workflow.
Guides interactive setup of optimization goals, metrics, and scope; runs autonomous git-committed experiment loops: code changes, testing, measurement, keep improvements or revert. For performance tuning in git repos.