Add comprehensive development roadmap via GitHub Issues

Created 10 detailed GitHub issues covering:
- Project activation and management UI (#1-2)
- Worker node coordination and visualization (#3-4)
- Automated GitHub repository scanning (#5)
- Intelligent model-to-issue matching (#6)
- Multi-model task execution system (#7)
- N8N workflow integration (#8)
- Hive-Bzzz P2P bridge (#9)
- Peer assistance protocol (#10)

Each issue includes detailed specifications, acceptance criteria,
technical implementation notes, and dependency mapping.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

mcp-server/node_modules/lunr/perf/builder_perf.js

@@ -0,0 +1,30 @@
+suite('lunr.Builder', function () {
+  var documents = [{
+    id: 'a',
+    title: 'Mr. Green kills Colonel Mustard',
+    body: 'Mr. Green killed Colonel Mustard in the study with the candlestick. Mr. Green is not a very nice fellow.',
+    wordCount: 19
+  },{
+    id: 'b',
+    title: 'Plumb waters plant',
+    body: 'Professor Plumb has a green plant in his study',
+    wordCount: 9
+  },{
+    id: 'c',
+    title: 'Scarlett helps Professor',
+    body: 'Miss Scarlett watered Professor Plumbs green plant while he was away from his office last week.',
+    wordCount: 16
+  }]
+
+  this.add('build', function () {
+    lunr(function () {
+      this.ref('id')
+      this.field('title')
+      this.field('body')
+
+      documents.forEach(function (doc) {
+        this.add(doc)
+      }, this)
+    })
+  })
+})

mcp-server/node_modules/lunr/perf/perf_helper.js

@@ -0,0 +1,26 @@
+var lunr = require('../lunr.js'),
+    Benchmark = require('benchmark'),
+    wordList = require('word-list'),
+    fs = require('fs')
+
+var suite = function (name, fn) {
+  var s = new Benchmark.Suite(name, {
+    onStart: function (e) { console.log(e.currentTarget.name) },
+    onCycle: function (e) { console.log("  " + String(e.target)) },
+    onError: function (e) { console.error(e.target.error) }
+  })
+
+  fn.call(s, s)
+
+  s.run()
+}
+
+var words = fs.readFileSync(wordList, 'utf-8')
+  .split('\n')
+  .slice(0, 1000)
+  .sort()
+
+global.lunr = lunr
+global.Benchmark = Benchmark
+global.suite = suite
+global.words = words

mcp-server/node_modules/lunr/perf/pipeline_perf.js

@@ -0,0 +1,43 @@
+suite('lunr.Pipeline', function () {  
+  var tokenToToken = function(token) {
+    return token
+  }
+
+  var tokenToTokenArray = function(token) {
+    return [token, token]
+  }
+
+  var buildTokens = function(count) {
+    return words.slice(0, count).map(function(word) { 
+      return new lunr.Token(word) 
+    })
+  }
+
+  lunr.Pipeline.registerFunction(tokenToToken, 'tokenToToken')
+  lunr.Pipeline.registerFunction(tokenToTokenArray, 'tokenToTokenArray')
+
+  var fewTokens = buildTokens(50);
+  var manyTokens = buildTokens(1000)
+  
+  var tokenToTokenPipeline = new lunr.Pipeline
+  tokenToTokenPipeline.add(tokenToToken)
+
+  var tokenToTokenArrayPipeline = new lunr.Pipeline
+  tokenToTokenArrayPipeline.add(tokenToTokenArray)
+
+  this.add('few tokens, token -> token', function () {
+    tokenToTokenPipeline.run(fewTokens)
+  })
+
+  this.add('many tokens, token -> token', function () {
+    tokenToTokenPipeline.run(manyTokens)
+  })
+
+  this.add('few tokens, token -> token array', function () {
+    tokenToTokenArrayPipeline.run(fewTokens)
+  })
+
+  this.add('many tokens, token -> token array', function () {
+    tokenToTokenArrayPipeline.run(manyTokens)
+  })
+})

mcp-server/node_modules/lunr/perf/query_parser_perf.js

@@ -0,0 +1,24 @@
+suite('lunr.QueryParser', function () {
+  var parse = function (q) {
+    var query = new lunr.Query (['title', 'body']),
+        parser = new lunr.QueryParser(q, query)
+
+    parser.parse()
+  }
+
+  this.add('simple', function () {
+    parse('foo bar')
+  })
+
+  this.add('field', function () {
+    parse('title:foo bar')
+  })
+
+  this.add('modifier', function () {
+    parse('foo~2 bar')
+  })
+
+  this.add('complex', function () {
+    parse('title:foo~2^6 bar')
+  })
+})

mcp-server/node_modules/lunr/perf/search_perf.js

@@ -0,0 +1,72 @@
+suite('search', function () {
+  var documents = [{
+    id: 'a',
+    title: 'Mr. Green kills Colonel Mustard',
+    body: 'Mr. Green killed Colonel Mustard in the study with the candlestick. Mr. Green is not a very nice fellow.',
+    wordCount: 19
+  },{
+    id: 'b',
+    title: 'Plumb waters plant',
+    body: 'Professor Plumb has a green plant in his study',
+    wordCount: 9
+  },{
+    id: 'c',
+    title: 'Scarlett helps Professor',
+    body: 'Miss Scarlett watered Professor Plumbs green plant while he was away from his office last week.',
+    wordCount: 16
+  }]
+
+  var idx = lunr(function () {
+    this.ref('id')
+    this.field('title')
+    this.field('body')
+
+    documents.forEach(function (doc) {
+      this.add(doc)
+    }, this)
+  })
+
+  this.add('single term', function () {
+    idx.search('green')
+  })
+
+  this.add('multi term', function () {
+    idx.search('green plant')
+  })
+
+  this.add('trailing wildcard', function () {
+    idx.search('pl*')
+  })
+
+  this.add('leading wildcard', function () {
+    idx.search('*ant')
+  })
+
+  this.add('contained wildcard', function () {
+    idx.search('p*t')
+  })
+
+  this.add('with field', function () {
+    idx.search('title:plant')
+  })
+
+  this.add('edit distance', function () {
+    idx.search('plint~2')
+  })
+
+  this.add('typeahead', function () {
+    idx.query(function (q) {
+      q.term("pl", { boost: 100, usePipeline: true })
+      q.term("pl", { boost: 10, usePipeline: false, wildcard: lunr.Query.wildcard.TRAILING })
+      q.term("pl", { boost: 1, editDistance: 1 })
+    })
+  })
+
+  this.add('negated query', function () {
+    idx.search('-plant')
+  })
+
+  this.add('required term', function () {
+    idx.search('green +plant')
+  })
+})

mcp-server/node_modules/lunr/perf/stemmer_perf.js

@@ -0,0 +1,7 @@
+suite('lunr.stemmer', function () {
+  this.add('#call', function () {
+    for (var i = 0; i < words.length; i++) {
+      lunr.stemmer(new lunr.Token (words[i]))
+    }
+  })
+})

mcp-server/node_modules/lunr/perf/token_set_perf.js

@@ -0,0 +1,42 @@
+suite('lunr.TokenSet', function () {
+  var tokenSet = lunr.TokenSet.fromArray([
+    'january', 'february', 'march', 'april',
+    'may', 'june', 'july', 'august',
+    'september', 'october', 'november', 'december'
+  ].sort())
+
+  var noWildcard = lunr.TokenSet.fromString('september')
+  var withWildcard = lunr.TokenSet.fromString('*ber')
+
+  this.add('.fromArray', function () {
+    lunr.TokenSet.fromArray(words)
+  })
+
+  this.add('.fromString (no wildcard)', function () {
+    lunr.TokenSet.fromString('javascript')
+  })
+
+  this.add('.fromString (with wildcard)', function () {
+    lunr.TokenSet.fromString('java*cript')
+  })
+
+  this.add('.fromFuzzyString', function () {
+    lunr.TokenSet.fromFuzzyString('javascript', 2)
+  })
+
+  this.add('#toArray', function () {
+    tokenSet.toArray()
+  })
+
+  this.add('#toString', function () {
+    tokenSet.toString()
+  })
+
+  this.add('#intersect (no wildcard)', function () {
+    tokenSet.intersect(noWildcard)
+  })
+
+  this.add('#intersect (with wildcard)', function () {
+    tokenSet.intersect(withWildcard)
+  })
+})

mcp-server/node_modules/lunr/perf/tokenizer_perf.js

@@ -0,0 +1,7 @@
+suite('lunr.tokenizer', function () {
+  var lorem = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum"
+
+  this.add('#call', function () {
+    lunr.tokenizer(lorem)
+  })
+})

mcp-server/node_modules/lunr/perf/vector_perf.js

@@ -0,0 +1,31 @@
+suite('lunr.Vector', function () {
+  var index, val
+
+  var v1 = new lunr.Vector,
+      v2 = new lunr.Vector
+
+  for (var i = 0; i < 1000; i++) {
+    index = Math.floor(i + Math.random() * 100)
+    val = Math.random() * 100
+    v1.insert(i, val)
+  }
+
+  for (var i = 0; i < 1000; i++) {
+    index = Math.floor(i + Math.random() * 100)
+    val = Math.random() * 100
+    v2.insert(i, val)
+  }
+
+  this.add('magnitude', function () {
+    v1.magnitude()
+  })
+
+  this.add('dot', function () {
+    v1.dot(v2)
+  })
+
+  this.add('similarity', function () {
+    v1.similarity(v2)
+  })
+
+})