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benchmark-improver
Wu Xing-based auto-improvement system for benchmarks. Detects anti-patterns via 相克 and generates improvements via 相生 pathways.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Wu Xing-based auto-improvement system for benchmarks. Detects anti-patterns via 相克 and generates improvements via 相生 pathways.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Transforms research paper analysis from extraction to narrative storytelling. Uses 7-beat narrative spine (protagonist/dilemma/old-path/turning-point/solution/ending/core) to make papers understandable to non-experts. Includes speed-read card, PhD advisor review, and real-world testing. Use when researcher encounters a research paper and needs to extract deep understanding, not just surface facts. Triggers on "paper", "research paper", "analyze paper", "tell me about this paper", "讲论文", "读论文".
Workflow chain: researcher → paper-storytelling. When researcher encounters a research paper, automatically invoke paper-storytelling to transform extraction into narrative understanding. Use when user says "research paper", "analyze this paper", "tell me about this paper", or when researcher detects arxiv/PDF links.
Prompt template for external research specialist subagent. Auto-evolves based on experiment outcomes.
Inspect and operate OV5 (Ouroboros V5) through the live Emacs daemon. Use when checking auto-workflow status, starting guarded runs, reviewing experiment results, or querying researcher and evolution state.
Clojure REPL client (nREPL-based, Babashka). Use for evaluating Clojure code, loading Clojure files, fixing unbalanced brackets, and interactive nREPL work. Not the Elisp daemon-repl.
Daemon REPL for Elisp — evaluate Elisp code in a running Emacs daemon via emacsclient, validate brackets before save, auto-evaluate .el files on change. Use when you need to run Elisp from outside Emacs, check daemon status, or validate Elisp syntax.
| name | benchmark-improver |
| description | Wu Xing-based auto-improvement system for benchmarks. Detects anti-patterns via 相克 and generates improvements via 相生 pathways. |
| version | 1 |
| metadata | {"evolution-stats":{"total-experiments":870}} |
| level | molecule |
| atoms | ["eight-keys-grader","elisp-expert","evolution-patterns"] |
Apply Wu Xing (Five Elements) theory to detect benchmark anti-patterns and generate targeted improvements.
Water → Wood → Fire → Earth → Metal → Water
Guides the sequence of improvements. When an element is deficient, strengthen it by enhancing its generator.
Wood → Earth → Water → Fire → Metal → Wood
Detects which element is in excess and applies the controlling element as remedy.
Controlled by: Metal (coordination)
Generated by: Water (identity)
When benchmark shows excessive steps, redundant operations, or inefficiency:
Controlled by: Water (identity/principles)
Generated by: Wood (operations)
When benchmark shows lack of planning, reactive fixes, or scattered approach:
Controlled by: Wood (operations/execution)
Generated by: Fire (intelligence)
When benchmark shows rigidity, excessive constraints, or inability to adapt:
Controlled by: Fire (intelligence/adaptation)
Generated by: Earth (control)
When benchmark shows bureaucratic overhead, inflexible rules, or coordination failures:
Controlled by: Earth (control/processes)
Generated by: Metal (coordination)
When benchmark shows vague goals, lack of direction, or identity crisis:
Observe → Detect → Generate → Apply → Verify → Feed Forward
;; Auto-improve a skill
(gptel-benchmark-auto-improve-skill "my-skill" benchmark-results)
;; Auto-improve a workflow
(gptel-benchmark-auto-improve-workflow "my-workflow" benchmark-results)
;; Batch improve multiple items
(gptel-benchmark-batch-improve
'(("skill-a" skill results-a)
("workflow-b" workflow results-b)))
Anti-patterns are detected by analyzing benchmark results against Eight Keys scores:
Map low scores to their element and apply the corresponding improvement rules above.
Based on analysis of which improvement types led to score increases.
| Element | Effectiveness | Improvement Rate | Total | Improved | Worsened |
|---|---|---|---|---|---|
| Control (Earth) | marginally-effective | 22% | 18 | 4 | 5 |
| Intelligence (Fire) | highly-effective | 67% | 3 | 2 | 0 |
| Coordination (Metal) | ineffective | 12% | 77 | 9 | 15 |
| Identity (Water) | ineffective | 18% | 148 | 27 | 27 |
| Operations (Wood) | ineffective | 8% | 78 | 6 | 9 |
Prioritize these improvement types:
Reconsider these improvement types:
Based on analysis of 0 experiments.