Results for “prune”

33 skills

Dependency Repair

Autonomously repairs failed task verification by choosing retry, decompose, prune, or escalate strategies before surfacing to the user.

Repairs failed task verification by choosing a strategy: retry with adjustments, decompose into sub-tasks, prune infeasible tasks, or escalate to the user.

lucassantana-dev

Context Hygiene

Keep sessions focused and efficient — prune stale outputs, preserve active state, recommend compaction

projectious-work

Use the context-grooming skill to prune and compact the current project context.

Consolidates project memory across harness and .memory/ with theme clustering, practical-expiry prune, ground-truth verify, and an adversarial second pass. Use when the user runs /memory:consolidate, asks to tidy/dedupe/prune memory, or reports redundant or stale memories. Also covers active writing during work.

Manage project learnings. Review, search, prune, and export what gstack has learned across sessions. Use when asked to "what have we learned", "show learnings", "prune stale learnings", or "export learnings". Proactively suggest when the user asks about past patterns or wonders "didn't we fix this before?"

More results

Deletes local git branches whose upstream is gone, removing attached worktrees first.

Record, search, and prune per-project learnings in .claude/learnings.jsonl — typed, confidence-scored, searchable across sessions

Review and manage an IP portfolio across trademarks, patents, copyrights, and domains — docketing assets, deadlines, coverage gaps, and prune-vs-maintain decisions.

Identifies and removes dead code safely, with test verification at each step and categorization of risk levels.

Diagnose frame-rate bottlenecks (CPU vs GPU bound FIRST), control Unreal Insights traces, sample live frame times, and annotate performance captures. Use when FPS is low/bad, the game is slow, or you need to find what is limiting the frame rate.

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.

El2n Deep Learning On A Data Diet Arxiv 2107 07075v2

EL2N: Deep Learning on a Data Diet

Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics. Use when the user runs /si:review or asks what has been learned and what should be promoted or pruned.

intense-visions

Performance Optimization

The instruction to profile before optimizing survives because intuition about

Export Premiere

Exports a timeline.json as a Premiere Pro editor packet, including FCP7 XML, captions, and media, with verification steps.

Use when implementing python functionality with production-grade patterns and safeguards.

claude-dev-suite

pnpm package manager. Fast, disk-efficient with excellent monorepo support. Use when managing dependencies or setting up monorepos. USE WHEN: user mentions "pnpm", "pnpm workspace", "pnpm-workspace.yaml", asks about "pnpm commands", "pnpm install", "workspace protocol" DO NOT USE FOR: npm (use standard npm commands), yarn (use yarn commands), bun package manager

Performance Profiler

Performance Profiler

Finance Based Pricing Advisor

Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.

Price-to-win lens using GSA CALC+, BLS OEWS, and incumbent USASpending award patterns for a pursuit. Use when user asks for realism checks or competitive pricing posture before proposal — draft skill, not production-verified.

Manage project learnings.

Load this skill when the user says "prepare base", "prepare-base", or "/prepare-base". Prunes remote tracking references, checks out a base branch, pulls latest, and cleans up local-only feature branches after confirmation.

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

Pumpfun Trading

Buy and sell tokens on Pump.fun bonding curves and AMM pools

intense-visions

Manage project learnings.

Prepare GPT-pro-ready proof planning or diagnosis bundles from a user's idea, packaging claims, sources, givens, and open questions for review without solving gaps locally.

lucassantana-dev

Composite skill — one-pass cleanup of stale local branches, dead worktrees, merged branches, and abandoned remote PR branches. Chains `git fetch --prune` → `clean_gone` (kill [gone] branches) → worktree prune + offer-to-remove dead worktrees → list-and-delete branches merged to main and release → delete remote PR branches whose PRs merged >7 days ago. Use instead of running `clean_gone` alone — that only catches half the rot. Daily-friction composite; fires on "clean up branches", "branch hygiene", "stale worktrees", and on session start when local branch count > 30.

Finalizes and merges a feature branch into develop using git-flow, then prunes stale branches and worktrees. This skill should be used when the user asks to "finish a feature", "merge feature branch", "complete feature", "git flow feature finish", or wants to finalize a feature branch.

Finalizes a hotfix and merges it into main and develop using git-flow, then prunes stale branches and worktrees. This skill should be used when the user asks to "finish a hotfix", "merge hotfix branch", "complete hotfix", "git flow hotfix finish", or wants to finalize a hotfix.

Finalizes a release and merges it into main and develop with a tag using git-flow, then prunes stale branches and worktrees. This skill should be used when the user asks to "finish a release", "merge release branch", "complete release", "git flow release finish", or wants to finalize a release.