mcpbeat Sign in

Cognitive Modes Agent Skill

Gorev tipine gore dusunme modu secimi. 5 mod -- analytical (derin analiz), creative (yaratici cozum), systematic (adim adim), rapid (hizli aksiyon), debug (hata izleme). Her mod farkli prompt stratejisi ve karar agaci kullanir.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
521
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/vibeeval/vibecosystem --skill cognitive-modes

The instruction itself

11 sections, as written by the author

Cognitive Modes

Her gorev ayni dusunme sekli gerektirmez. Mimari karar icin derin analiz, hotfix icin hizli aksiyon, bug icin sistematik izleme gerekir. Yanlis mod = yanlis sonuc.

5 Dusunme Modu

1. ANALYTICAL (Derin Analiz)

NE ZAMAN: Mimari karar, teknoloji secimi, trade-off analizi
NASIL:    Birden fazla perspektif, artilari/eksileri, uzun vadeli etki
HIZI:     Yavas ama kapsamli
TOKEN:    Yuksek (derinlemesine dusunme)

Davranis:

  • Her secenegi en az 3 acidan degerlendir
  • Uzun vadeli sonuclari dusun (6 ay, 1 yil)
  • "Neden" sorusunu en az 3 kez sor (5 Whys)
  • Karar oncesi risk analizi yap
  • Alternatif yaklasimlari listele

Ornek gorevler:

  • "Monolith mi microservice mi?"
  • "Hangi database kullanmaliyiz?"
  • "Auth sistemi nasil tasarlanmali?"
  • "Bu refactoring yapilmali mi?"

Prompt pattern:

Bu karari ANALYTICAL modda degerlendir:
1. En az 3 secenek belirle
2. Her secenegin 3+ artisi ve 3+ eksisini listele
3. Uzun vadeli etkileri degerlendir
4. Risk analizi yap
5. Net oneri ver (nedenle birlikte)

2. CREATIVE (Yaratici Cozum)

NE ZAMAN: Yeni feature tasarimi, UX/UI, problem cozme, naming
NASIL:    Sinir koymadan dusun, sonra daralt
HIZI:     Orta
TOKEN:    Orta

Davranis:

  • Ilk 5 fikri YARGILAMA, sadece uret
  • Farkli alanlardan analoji kullan
  • "Ya su olsa?" sorusu sor
  • Kisitlamalari gec, sonra geri getir
  • En iyi 2-3 fikri secip detaylandir

Ornek gorevler:

  • "Bu feature'i nasil tasarlayalim?"
  • "Kullanici deneyimini nasil iyilestirelim?"
  • "Bu API'nin ismi ne olmali?"
  • "Onboarding akisi nasil olmali?"

Prompt pattern:

Bu gorevi CREATIVE modda ele al:
1. En az 5 farkli yaklasim uret (yargilama)
2. Her birini tek cumlede acikla
3. En ilginc 2-3'unu sec
4. Secilenleri detaylandir
5. Final oneri ver

3. SYSTEMATIC (Adim Adim)

NE ZAMAN: Implementation, migration, setup, deployment
NASIL:    Sira onemli, her adim dogrulanmali
HIZI:     Orta-yavas
TOKEN:    Orta

Davranis:

  • Gorevi numarali adimlara bol
  • Her adimi tamamla, SONRA sonrakine gec
  • Her adim sonrasi dogrulama yap
  • Adimlar arasi bagimliliklari belirle
  • Hata durumunda hangi adima donulecegini belirt

Ornek gorevler:

  • "Database migration yap"
  • "CI/CD pipeline kur"
  • "Yeni modul ekle"
  • "Production deployment yap"

Prompt pattern:

Bu gorevi SYSTEMATIC modda yap:
1. Adimlari sirala (bagimliliklariyla)
2. Her adim icin basari kriteri belirle
3. Sirayla ilerle, adim atlama
4. Her adim sonrasi dogrula
5. Hata durumunda rollback plani hazirla

4. RAPID (Hizli Aksiyon)

NE ZAMAN: Hotfix, typo, kucuk degisiklik, bilinen cozum
NASIL:    Dusunme minimum, aksiyon maksimum
HIZI:     Cok hizli
TOKEN:    Dusuk

Davranis:

  • Analiz YAPMA, direkt coz
  • Tek dosya, tek degisiklik
  • Review atlama (kucuk degisiklik)
  • 3 satirdan fazla aciklama YAPMA
  • Bitti de, devam et

Ornek gorevler:

  • "Bu typo'yu duzelt"
  • "console.log'u sil"
  • "Import ekle"
  • "Degiskeni yeniden adlandir"

Prompt pattern:

RAPID mod: Duzelt ve bitir. Aciklama gereksiz.

5. DEBUG (Hata Izleme)

NE ZAMAN: Bug investigation, hata analizi, neden calismıyor
NASIL:    Hipotez -> test -> eleme -> sonuc
HIZI:     Degisken (basit bug = hizli, karmasik = yavas)
TOKEN:    Degisken

Davranis:

  • Once BELIRTILERI topla (hata mesaji, log, davranis)
  • Hipotez listesi olustur (en olasilisi once)
  • Her hipotezi SISTEMATIK test et
  • Eleme yontemiyle daralt
  • Root cause buldugunda KANITLA
  • Fix once, test sonra

Ornek gorevler:

  • "Bu API neden 500 donuyor?"
  • "Login calismıyor"
  • "Build basarisiz"
  • "Test flaky"

Prompt pattern:

DEBUG mod:
1. Belirtiler: [hata mesaji, log, davranis]
2. Hipotezler: [en olasi -> en az olasi]
3. Test plani: [her hipotez icin bir test]
4. Bulgular: [ne bulundu]
5. Root cause: [kesin neden]
6. Fix: [cozum]

Otomatik Mod Secimi

| Tetikleyici Kelimeler | Mod |

|----------------------|-----|

| "tasarla", "mimari", "sec", "karar", "karsilastir" | ANALYTICAL |

| "olustur", "tasarla", "fikir", "nasil olsa", "isim" | CREATIVE |

| "implement", "ekle", "kur", "migrate", "deploy" | SYSTEMATIC |

| "duzelt", "sil", "degistir", "rename", "typo" | RAPID |

| "calismıyor", "hata", "bug", "neden", "500", "fail" | DEBUG |

Mod Gecisleri

Bazen gorev icinde mod degistirmek gerekir:

ANALYTICAL → SYSTEMATIC
  Karar alindi, simdi implement et

DEBUG → RAPID
  Root cause bulundu, basit fix yeterli

DEBUG → ANALYTICAL
  Root cause karmasik, mimari degisiklik gerekiyor

CREATIVE → SYSTEMATIC
  Tasarim onaylandi, adim adim implement et

SYSTEMATIC → DEBUG
  Bir adim basarisiz oldu, neden?

Token Etkisi

| Mod | Ortalama Token | Maliyet (Sonnet) |

|-----|---------------:|------------------:|

| RAPID | 500-2K | $0.01-0.03 |

| DEBUG | 3K-20K | $0.05-0.30 |

| SYSTEMATIC | 5K-30K | $0.08-0.45 |

| CREATIVE | 3K-15K | $0.05-0.22 |

| ANALYTICAL | 10K-50K | $0.15-0.75 |

RAPID mod kullanarak gereksiz ANALYTICAL mod'dan kacinmak %80+ token tasarrufu saglar.

vibecosystem Entegrasyonu

  • smart-model-routing skill: Mod + model birlikte secilir (ANALYTICAL=Opus, RAPID=Sonnet)
  • token-budget skill: Mod secimi maliyet etkisini gosterir
  • planner agent: ANALYTICAL mod ile plan yapar
  • spark agent: RAPID mod ile hizli fix yapar
  • sleuth agent: DEBUG mod ile investigate eder
  • architect agent: ANALYTICAL + CREATIVE modlari birlikte kullanir
  • kraken agent: SYSTEMATIC mod ile TDD implement eder

Other skills for the same job

different authors, same section of the catalogue
Protocolsio Integration
by christophacham
×4

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

16k tokens
Tailored Resume Generator
by frostant
×4

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances

3k tokens
Excalidraw Diagram Generator
by github
vendor ×3

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

36k tokens scripts
Expo Dev Client
by openai
vendor ×3

Build and distribute Expo development clients locally or via TestFlight

961 tokens
Executing Plans
by ZhanlinCui
×3

Use when you have a written implementation plan to execute in a separate session with review checkpoints

542 tokens
Anndata
by christophacham
×3

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

16k tokens
Benchling Integration
by christophacham
×3

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

14k tokens
Biopython
by christophacham
×3

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

24k tokens

How to use it

Copy the folder

Take vibeeval/cognitive-modes from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.