Store conversations, agent activity, and feedback in cognee sessions, then carry them into long-term memory. This skill explains improve(), its processing stages, result statuses, and settings for diagnosing skipped work or controlling automatic runs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Saving conversations and agent activity by session
- Moving session content into long-term memory
- Investigating skipped or blocked processing stages
topoteretes/cognee☆ 3.3만2026년 10월 19일 업데이트
Run repeated code reviews and fixes using an installed reviewer chosen by the user. The workflow tracks findings across rounds, checks that edits stay within scope, and reports whether blocking issues were resolved or further decisions are needed.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Repeat reviews and fixes for a module
- Improve code using a specific installed reviewer
- Keep automated edits within an agreed file scope
trailofbits/skills☆ 7.6천2026년 10월 16일 업데이트
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to "implement improvements", "work on improvements", "address improvements", "process improvement backlog", "tackle improvements", or "implement noted improvements".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
tobihagemann/turbo☆ 4142026년 10월 17일 업데이트
Improve a compiled LaTeX paper through two rounds of Claude review, edits, and recompilation. The workflow addresses inconsistent reasoning, unsupported claims, unclear writing, and visual presentation, while keeping a cumulative log of changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Polish a generated paper before submission
- Correct inconsistencies and unsupported claims
- Improve figures, tables, and page layout
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.8만2026년 10월 17일 업데이트
Improve a compiled paper through two rounds of external model review, source edits, and PDF rebuilding. Check claims against evidence, resolve inconsistencies, and refine figures and layout, with optional checkpoints and restrictions on which edits are allowed.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Revising a generated paper before submission
- Correcting mismatches between claims and evidence
- Improving notation, figures, tables, and layout
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.8만2026년 10월 17일 업데이트
Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Improve a prompt using failed production traces
- Fix responses that use the wrong output format
- Review unsupported answers in retrieval-based responses
github/awesome-copilot☆ 4만2026년 10월 17일 업데이트
Design loops that improve an agent’s own prompts, workflows, or execution code from failure records. Define bounded edits, preserve candidate histories, and accept changes through independent tests that check improvements and regressions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Designing agent self-improvement from failure records
- Defining acceptance checks for self-modifying workflows
- Diagnosing score gaming and stalled improvement
muratcankoylan/Agent-Skills-for-Context-Engineering☆ 1.8만2026년 10월 12일 업데이트
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Galaxy-Dawn/claude-scholar☆ 5.8천2026년 9월 23일 업데이트
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7천2026년 10월 15일 업데이트
Triage the improvements backlog at .turbo/improvements.md: merge duplicate entries, state the user story or simplification behind each one, and decide with the user which to keep and which to drop. Use when the user asks to "triage improvements", "triage the backlog", "clean up the backlog", "clean up improvements", "groom the backlog", "prune the improvements backlog", or "go through the backlog with me".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
tobihagemann/turbo☆ 4142026년 10월 17일 업데이트
Capture an out-of-scope improvement opportunity so it doesn't get lost. Use when the user asks to "note improvement", "save improvement", "track this for later", "remember this improvement", "note this idea", "log improvement", "backlog this", or "park this idea". Also invoke proactively when noticing something improvable during work that falls outside the current task's scope, or after deliberately shipping a simpler approach that accepts a known ceiling — briefly mention it to the user and offer to note it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
tobihagemann/turbo☆ 4142026년 10월 17일 업데이트
Marp形式プレゼンテーションの専門レビュー・評価・改善スキル。 10軸スコアリング(100点満点)で品質を定量評価し、具体的な改善コード付きで提案する。 Use when the user asks to: - Review, evaluate, or critique a Marp presentation / プレゼンをレビュー / 評価 / 添削 - Improve, polish, or upgrade existing slides / スライドを改善 / ブラッシュアップ - Check slide quality, score slides, or audit a deck / スライドの品質チェック / 採点 - "このプレゼンどう?" "スライドを見てほしい" "プレゼン資料のフィードバック" Reads .md files with Marp frontmatter, scores across 10 dimensions, and outputs a detailed review report with concrete before/after code improvements. Works as a companion to the marp-slides skill (generation → review → improvement cycle).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
shinobi-coder701/zenn-docs☆ 62026년 9월 17일 업데이트
Build an end-to-end evaluation pipeline for Python AI applications using pixie-qa and real language-model calls. Define criteria, prepare realistic test data, score application runs, and analyze the evidence to produce a prioritized improvement plan.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Setting up quality checks for Python AI applications
- Creating realistic scenarios for known failure modes
- Scoring full application runs with real language-model calls
github/awesome-copilot☆ 4만2026년 10월 17일 업데이트
Run repeated code improvement experiments with multiple agents. It plans and reviews candidate changes, compares benchmark results, merges candidates that pass rechecking, and records progress until a target, iteration limit, or another stopping condition is reached.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Comparing several code improvement ideas with benchmarks
- Running repeated experiments toward a measurable target
- Tracking candidate scores and experiment history
Yeachan-Heo/oh-my-claudecode☆ 4만2026년 10월 18일 업데이트
Find concrete LifeOS improvements in Anthropic updates, practitioner examples, and internal reflections. Check each candidate against the current setup, previous decisions, and compatibility, then present actionable recommendations tied to specific files or components.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking Anthropic updates for LifeOS improvements
- Finding improvements in internal reflections
- Researching a candidate feature in more detail
danielmiessler/LifeOS☆ 2만2026년 9월 4일 업데이트
Apply over 240 reusable prompt templates to summarize content, extract insights, improve writing, review code, or analyze security threats. It reads each template directly and returns results in the format defined for that task.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Extract ideas and insights from an article
- Create a concise five-sentence summary
- Improve writing or review code with a selected template
danielmiessler/LifeOS☆ 2만2026년 9월 4일 업데이트
Improve an existing LaTeX paper through two rounds of Gemini review, targeted edits, and PDF rebuilding. Check whether claims match the evidence, resolve notation and presentation issues, and retain review logs and PDF versions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Review and revise a completed paper draft
- Align claims with supporting evidence
- Resolve notation and explanation inconsistencies
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.8만2026년 10월 17일 업데이트
Runs repeated reviews and fixes on a Claude Code skill until no critical or major findings remain. Tracks findings across rounds, checks change boundaries, and stops for a design decision when fixes stop making progress.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Refining a skill until critical and major findings are resolved
- Improving skill metadata, trigger descriptions, and references
- Tracking recurring findings across review rounds
trailofbits/skills☆ 7.6천2026년 10월 16일 업데이트
Review affiliate campaign results and improve strategy. Triggers on: "review my results", "what went wrong", "how to improve conversions", "analyze my campaign", "affiliate retrospective", "why am I not converting", "improve my strategy", "what should I change", "campaign review", "optimize my approach", "learn from my results", "post-mortem on my campaign".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Affitor/affiliate-skills☆ 7262026년 10월 13일 업데이트
Agent Performance Optimization Workflow workflow skill. Use this skill when the user needs Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
diegosouzapw/awesome-omni-skills☆ 1622026년 7월 8일 업데이트
Transform transcript analysis findings into actionable improvements. Triggers on "generate hooks from findings", "improve agent", "fix anti-pattern", "kaizen improvement", "generate hook proposals", or "create improvement plan". Provides templates for hook generation, agent prompt refinement, skill patches, CLAUDE.md updates, and script automation from analysis data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Jamie-BitFlight/claude_skills☆ 672026년 10월 18일 업데이트
Audit a codebase as a read-only senior advisor, prioritize evidence-backed improvements, and write self-contained implementation plans. Use for codebase audits, improvement roadmaps, focused planning, plan review, plan reconciliation, or executing an existing improve plan through an isolated Codex worktree. The advisor never edits source code; execution uses codex-improve and returns to the main agent for review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
bioinformatist/codex-base☆ 92026년 10월 16일 업데이트
Audit, improve, and compress every skill in the repo using live research. Load when the user asks to improve skills, audit the skill library, upgrade existing skills, refresh with new research, do a skill health check, or says "improve all skills", "update the skill library", "skill audit", or "run an improvement pass". Applies live domain research, fixes structural gaps, checks for skill linking opportunities, then rewrites and resizes each skill. Supports TARGETED mode (`TARGET=<skill> [SKIP_RESEARCH=true]`) for single-skill fixes, including learn-from-chat restructure escalations. All skills are in scope including meta skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
dvy1987/agent-loom☆ 32026년 8월 8일 업데이트
Record concrete improvements in Paperclip when an agent encounters significant workflow friction. The skill turns observed problems with tools, permissions, environments, or documentation into brief internal feedback while keeping the main task moving.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Suggesting fixes for inconsistent tool behavior
- Reporting missing context or confusing instructions
- Proposing improvements to repeated approval loops
paperclipai/paperclip☆ 10.4만2026년 10월 18일 업데이트