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https://github.com/claude-code-best/claude-code.git
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4 Commits
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de9dbcdcbb | ||
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0a9e6c0313 | ||
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73130bded3 | ||
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1a1d57057e |
@@ -1,6 +1,6 @@
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{
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"name": "claude-code-best",
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"version": "1.10.6",
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"version": "1.10.8",
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"description": "Reverse-engineered Anthropic Claude Code CLI — interactive AI coding assistant in the terminal",
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"type": "module",
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"author": "claude-code-best <claude-code-best@proton.me>",
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@@ -68,7 +68,7 @@ export const DEFAULT_BUILD_FEATURES = [
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'DIRECT_CONNECT', // 直连模式(claude server / claude open)
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// Skill search & learning
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'EXPERIMENTAL_SKILL_SEARCH', // 实验性技能搜索(DiscoverSkills)
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'SKILL_LEARNING', // projectContext cache 无淘汰机制(非 GB 级主因)
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// 'SKILL_LEARNING', // projectContext cache 无淘汰机制(非 GB 级主因)
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// P3: poor mode
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'POOR', // 穷鬼模式,跳过 extract_memories/prompt_suggestion 减少消耗
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// Team Memory
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@@ -122,6 +122,7 @@ function buildAgentContent(params: {
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'',
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instincts
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.flatMap(instinct => instinct.evidence.map(evidence => `- ${evidence}`))
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.slice(0, 20)
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.join('\n'),
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'',
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].join('\n')
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@@ -35,15 +35,18 @@ export function createInstinct(
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})
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}
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const MAX_EVIDENCE_ENTRIES = 10
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export function normalizeInstinct(instinct: StoredInstinct): StoredInstinct {
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const uniqueEvidence = Array.from(new Set(instinct.evidence.filter(Boolean)))
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return {
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...instinct,
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id: instinct.id || buildInstinctId(instinct.trigger, instinct.action),
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confidence: clampConfidence(instinct.confidence),
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evidence: Array.from(new Set(instinct.evidence.filter(Boolean))),
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evidence: uniqueEvidence.slice(-MAX_EVIDENCE_ENTRIES),
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evidenceOutcome: instinct.evidenceOutcome,
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observationIds: instinct.observationIds
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? Array.from(new Set(instinct.observationIds))
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? Array.from(new Set(instinct.observationIds)).slice(-20)
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: undefined,
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}
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}
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@@ -12,6 +12,9 @@ import {
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import type { LearnedSkillDraft, SkillLearningScope } from './types.js'
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export const DUPLICATE_SKILL_OVERLAP_THRESHOLD = 0.8
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const MAX_EVIDENCE_LINES_PER_APPEND = 20
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const MAX_EVIDENCE_LINES_IN_SKILL = 20
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const MAX_SKILL_FILE_BYTES = 50_000
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export type SkillGeneratorOptions = {
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cwd?: string
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@@ -101,20 +104,41 @@ export async function appendInstinctEvidenceToSkill(
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const existing = await readFile(target.path, 'utf8').catch(
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() => target.content,
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)
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// Skip if the file already exceeds the size cap
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if (Buffer.byteLength(existing, 'utf8') >= MAX_SKILL_FILE_BYTES) {
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return target.path
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}
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const allEvidence = instincts.flatMap(instinct =>
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instinct.evidence.map(evidence => `- ${evidence}`),
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)
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const evidenceLines = allEvidence.slice(0, MAX_EVIDENCE_LINES_PER_APPEND)
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if (evidenceLines.length < allEvidence.length) {
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evidenceLines.push(
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`- [... ${allEvidence.length - evidenceLines.length} more evidence entries omitted]`,
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)
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}
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const now = new Date().toISOString()
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const block = [
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'',
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`## Learned evidence (${now})`,
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'',
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...instincts.flatMap(instinct =>
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instinct.evidence.map(evidence => `- ${evidence}`),
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),
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...evidenceLines,
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'',
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].join('\n')
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const merged = existing.endsWith('\n')
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? existing + block
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: `${existing}\n${block}`
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await writeFile(target.path, merged, 'utf8')
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// Final guard: truncate if merged exceeds size cap
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const finalContent =
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Buffer.byteLength(merged, 'utf8') > MAX_SKILL_FILE_BYTES
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? merged.slice(0, MAX_SKILL_FILE_BYTES)
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: merged
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await writeFile(target.path, finalContent, 'utf8')
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clearSkillIndexCache()
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return target.path
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}
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@@ -191,6 +215,7 @@ function buildSkillContent(params: {
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'',
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instincts
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.flatMap(instinct => instinct.evidence.map(evidence => `- ${evidence}`))
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.slice(0, MAX_EVIDENCE_LINES_IN_SKILL)
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.join('\n'),
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'',
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]
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