llm-ai
354.3K
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
openclaw
data-ai
sorting
์คํ
current ordering strategy
query
all entries
refine the visible subset
llm-ai
354.3K
model-usage
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
openclaw
data-ai
llm-ai
354.3K
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
openclaw
data-ai
llm-ai
354.3K
sherpa-onnx-tts
Local text-to-speech via sherpa-onnx (offline, no cloud)
openclaw
data-ai
llm-ai
354.3K
skill-creator
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".
openclaw
data-ai
llm-ai
183.7K
create-hook
Create a hook (.json) to enforce policy or automate agent lifecycle events.
microsoft
data-ai
llm-ai
159.2K
prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
f
data-ai
llm-ai
150.4K
agent-introspection-debugging
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
affaan-m
data-ai
llm-ai
150.4K
claude-api
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
affaan-m
data-ai
llm-ai
150.4K
dmux-workflows
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
affaan-m
data-ai
llm-ai
150.4K
iterative-retrieval
์๋ธ์์ด์ ํธ ์ปจํ ์คํธ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํ ์ ์ง์ ์ปจํ ์คํธ ๊ฒ์ ๊ฐ์ ํจํด
affaan-m
data-ai
llm-ai
150.4K
ai-regression-testing
AI่พ ๅฉๅผๅ็ๅๅฝๆต่ฏ็ญ็ฅใๆฒ็ๆจกๅผAPIๆต่ฏ๏ผๆ ้ไพ่ตๆฐๆฎๅบ๏ผ่ชๅจๅ็็ผบ้ทๆฃๆฅๅทฅไฝๆต็จ๏ผไปฅๅๆๆAI็ฒ็น็ๆจกๅผ๏ผๅ ถไธญๅไธๆจกๅ็ผๅๅๅฎกๆฅไปฃ็ ใ
affaan-m
data-ai
llm-ai
150.4K
claude-api
Anthropic Claude API ็ Python ๅ TypeScript ไฝฟ็จๆจกๅผใๆถต็ Messages APIใๆตๅผๅค็ใๅทฅๅ ทไฝฟ็จใ่ง่งๅ่ฝใๆฉๅฑๆ็ปดใๆน้ๅค็ใๆ็คบ็ผๅญๅ Claude Agent SDKใ้็จไบไฝฟ็จ Claude API ๆ Anthropic SDK ๆๅปบๅบ็จ็จๅบ็ๅบๆฏใ
affaan-m
data-ai
llm-ai
150.4K
continuous-learning
่ชๅจไปClaude Codeไผ่ฏไธญๆๅๅฏ้ๅคไฝฟ็จ็ๆจกๅผ๏ผๅนถๅฐๅ ถไฟๅญไธบๅญฆไน ๅฐ็ๆ่ฝไปฅไพๅฐๆฅไฝฟ็จใ
affaan-m
data-ai
llm-ai
150.4K
continuous-learning-v2
ๅบไบๆฌ่ฝ็ๅญฆไน ็ณป็ป๏ผ้่ฟ้ฉๅญ่งๅฏไผ่ฏ๏ผๅๅปบๅธฆ็ฝฎไฟกๅบฆ่ฏๅ็ๅๅญๆฌ่ฝ๏ผๅนถๅฐๅ ถ่ฟๅไธบๆ่ฝ/ๅฝไปค/ไปฃ็ใv2.1็ๆฌๅขๅ ไบ้กน็ฎ่ๅด็ๆฌ่ฝ๏ผไปฅ้ฒๆญข่ทจ้กน็ฎๆฑกๆใ
affaan-m
data-ai
llm-ai
150.4K
iterative-retrieval
้ๆญฅไผๅไธไธๆๆฃ็ดขไปฅ่งฃๅณๅญไปฃ็ไธไธๆ้ฎ้ข็ๆจกๅผ
affaan-m
data-ai
llm-ai
150.4K
continuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
affaan-m
data-ai
llm-ai
150.4K
iterative-retrieval
Pattern for progressively refining context retrieval to solve the subagent context problem
affaan-m
data-ai
llm-ai
150.4K
agent-harness-construction
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
affaan-m
data-ai
llm-ai
150.4K
ai-first-engineering
Engineering operating model for teams where AI agents generate a large share of implementation output.
affaan-m
data-ai
llm-ai
150.4K
blueprint
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
affaan-m
data-ai
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