llm-ai
41
multi-ai-sync
ๅค AI ๅ่ฐๅๆญฅๅ่ฎฎ - ่งฃๅณ Claude/Codex/Gemini ๅฆไฝๅๅๅทฅไฝ
WenJunDuan
data-ai
sorting
์คํ
current ordering strategy
query
all entries
refine the visible subset
llm-ai
41
skill-creator
Create new skills following a structured 4-phase workflow. Use when you need to build reusable agent skills with proper validation.
HyunjunJeon
data-ai
llm-ai
40
mcaf-skill-curation
Create, update, and validate repository skills under your agentโs skills directory (Codex: `.codex/skills/`, Claude: `.claude/skills/`) so they match the real codebase and `AGENTS.md` rules; tune YAML `description` triggers, apply feedback, and generate `<available_skills>` metadata blocks.
managedcode
data-ai
llm-ai
39
syneidesis
Gap surfacing before decisions. Raises procedural, consideration, assumption, and alternative gaps as questions to transform unknown unknowns into known considerations.
jongwony
data-ai
llm-ai
39
reflexion
This skill should be used when the user asks to "reflect on session", "extract insights", "analyze this conversation", "save learnings to memory", "run /reflect", "what did we learn?", "capture this for future sessions", "session wrap-up", or wants to persist session knowledge to User/Project memory. Conversational memory reconstruction through guided dialogue.
jongwony
data-ai
llm-ai
39
requirement-detector
ๆขๆต็จๆท็ๅไฝ่ง่้ๆฑๅนถๅ ่ฝฝๅฏนๅบๆๆกฃใๅฝ็จๆทๆๅฐAIๅณ้ใๅปAIๅณใ่ช็ถใ็ฝๆใๅฟซ่ๅฅใ็ฝ็นใๆ ๆฏ็นใไธ้ๆบใไธฅ่ๆๅญฆใๆๆทฑๅบฆใๅผบๆ ็ปชใๆๅจไบบใ็ๆใๆ็ณใ่ๆใ่ๅฟใBE็ญๅ ณ้ฎ่ฏๆถ่ชๅจๆฟๆดปใ้็จไบ่ฎจ่ฎบๅไฝ่ฆๆฑใAIๅปๅณๆนๆณใ่ๅฅๆงๅถใๆ ๆ่กจ่พพๆถไฝฟ็จใ
wordflowlab
data-ai
llm-ai
39
natural-dialogue-techniques
ๅจๅไฝๅฏน่ฏๅบๆฏๆ็จๆท่ฏข้ฎ่ง่ฒๅฏน่ฏๆถไฝฟ็จ - ๆไพ่ช็ถใ็ฌฆๅ่ง่ฒๆงๆ ผ็ๅฏน่ฏๆๅทง๏ผๅฑ็ฐ่ง่ฒๅนถๆจ่ฟๆ ่
wordflowlab
data-ai
llm-ai
39
using-superpowers
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists; if a skill exists for your task, you MUST use it
starwards
data-ai
llm-ai
38
conference-talk-builder
Create conference talk outlines and iA Presenter markdown slides using the Story Circle narrative framework. Use when the user wants to structure a tech talk, create presentation slides, or needs help organizing talk ideas into a story-driven format.
nicknisi
data-ai
llm-ai
38
natural-dialogue-techniques
Use when writing dialogue scenes or when user asks about character conversations - provides techniques for natural, character-consistent dialogue that reveals character and advances plot
wordflowlab
data-ai
llm-ai
38
ideation
Transform raw brain dumps (dictated freestyle) into structured implementation artifacts. Use when user has messy ideas, scattered thoughts, or dictated stream-of-consciousness about something they want to build. Produces contracts, phased PRDs, and implementation specs written to ./docs/ideation/{project-name}/.
nicknisi
data-ai
llm-ai
38
requirement-detector
ๆขๆต็จๆท็ๅไฝ่ง่้ๆฑๅนถๅ ่ฝฝๅฏนๅบๆๆกฃใๅฝ็จๆทๆๅฐAIๅณ้ใๅปAIๅณใ่ช็ถใ็ฝๆใๅฟซ่ๅฅใ็ฝ็นใๆ ๆฏ็นใไธ้ๆบใไธฅ่ๆๅญฆใๆๆทฑๅบฆใๅผบๆ ็ปชใๆๅจไบบใ็ๆใๆ็ณใ่ๆใ่ๅฟใBE็ญๅ ณ้ฎ่ฏๆถ่ชๅจๆฟๆดปใ้็จไบ่ฎจ่ฎบๅไฝ่ฆๆฑใAIๅปๅณๆนๆณใ่ๅฅๆงๅถใๆ ๆ่กจ่พพๆถไฝฟ็จใ
wordflowlab
data-ai
llm-ai
38
natural-language-processing
Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis
aj-geddes
data-ai
llm-ai
38
ralph
Implement the Ralph Wiggum iterative AI loop for Codex/Claude Code: create /ralph-loop and /cancel-ralph commands, wire a stop hook or wrapper loop, persist a fixed prompt, track iterations, and detect a completion promise with safety limits. Use when asked to build or integrate self-referential AI iteration loops, stop hooks, or command wrappers for repeated agent runs.
tkersey
data-ai
llm-ai
38
your-skill-name
Brief description of what this Skill does and when to use it. Include specific trigger phrases users would say. Use when user asks "trigger phrase 1", "trigger phrase 2", or wants to [outcome]. Max 1024 characters.
khgs2411
data-ai
llm-ai
37
weaviate-query-agent
Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries
saskinosie
data-ai
llm-ai
36
memory-optimizer
Refactors CLAUDE.md into minimal startup context by extracting path-specific rules, skills, commands, and agents. Use when CLAUDE.md exceeds 50 lines, startup feels slow, memory needs restructuring, or splitting monolithic project instructions.
nwiizo
data-ai
llm-ai
36
tool-dev
ไธ้จ็จไบๅผๅ FastGPT ็ณป็ปๅทฅๅ ทๅๅทฅๅ ท้็ๆ่ฝ๏ผๅ ๅซ Zod ็ฑปๅๅฎๅ จ้ช่ฏใๅ ฑไบซ้ ็ฝฎ็ฎก็ๅๅฎๆดๆต่ฏๅทฅไฝๆตใ้็จไบๅๅปบๆฐ็ FastGPT ๅทฅๅ ทใๅผๅๅ ๅซๅญๅทฅๅ ท็ๅทฅๅ ท้ใๆๅฎ็ฐๅธฆๆๆญฃ็กฎ้ ็ฝฎๅๆต่ฏ็ API ้ๆใ
labring
data-ai
llm-ai
35
external-consensus
Synthesize consensus implementation plan from multi-agent debate reports using external AI review
Synthesys-Lab
data-ai
llm-ai
35
pact-memory
Persistent memory for PACT agents. Save context, goals, lessons learned, decisions, and entities. Semantic search across sessions. Use when: saving session context, recalling past decisions, searching lessons. Triggers: memory, save memory, search memory, lessons learned, remember, recall
ProfSynapse
data-ai