Showing 30 of 22785 results
ในใญใซใใผในใฎๅฎ่ฃ ่จ็ปๆธใฌใใฅใผ๏ผใใฉใใทใฅใขใใใฎๅๅพฉใฏใผใฏใใญใผ
Secure access to Miro boards. Enables AI to read board context, create diagrams, and generate code with enterprise-grade security.
Give Claude an honest self-model โ behavioral tendencies built from evidence, not session memory. Mirror persists observations across every session, enforces a verification threshold before anything becomes a tendency, and separates claims from evidence at the protocol level. Ships as a bundled plugin with a companion methodology skill: the skill provides the discipline, the MCP provides the persistence. Neither works alone. Install: `/plugin install mirror@mctx`. Tendencies require โฅ3 supporting observations across โฅ2 distinct sessions. Training resistance is logged separately. Deliberate experiments stay distinct from passive evidence. All data is per-user, AES-256-GCM encrypted, and accumulates indefinitely.
Miscellaneous workflow utilities - commit messages, session handover
Mise-en-place integration with Task Trellis for AI coding agents
mise dev environment management โ tool versions, environment variables, tasks, and project configuration
Run mission workflows with Kimi and Codex behind a single command surface.
SDLC workflow manager for Infiquetra's Jeff Intent, Asgard, and CAMPPS boards. Adds prepared issue drafts, live schema sync, project fields, labels, metrics, milestones, and rollout helpers via Python CLI.
Mission Spec core API + Claude Code skills (ms-init, ms-eval, ms-status, ms-report, ms-context, ms-decide) + CLI (npx mission-spec) + Living Asset Registry + Architecture Registry + Reconstruction verifier + Cross-platform adapters (Cursor, Codex, OpenCode, Cline, Continue, Aider)
MixShift AI skills for Amazon advertising and retail operations against MixShift's MySQL warehouse (legacy dashamazon schema): Sponsored Ads (SP/SB/SD), DSP, Seller / Vendor Central revenue, orders, inventory, catalog. Warehouse access is read-only; the live Amazon API surface adds SP-API reports, retail lookups, AMC and DSP analytics, and Amazon Ads reads plus audited preview-gated writes. Ships mx-data-explore (querying + CSV export), the mx-amazon-* skills, PPC optimization skills, brand-context management (cold-start + render + edit + enrich + delta-merge), per-skill OCL calibration confirm-on-run, design-system HTML rendering, and onboarding commands.
Local-login-node PBS job management and documentation search for Miyabi.
ML-engineering (MLOps) team โ 4 agents (ml-platform-architect, training-pipeline-engineer, model-serving-engineer, ml-monitoring-engineer) for the PRODUCTION lifecycle of ML models: the platform/architecture (build-vs-buy, the stack, the train->register->serve->monitor loop), reproducible training pipelines + experiment tracking + a model registry, feature stores and train/serve consistency (avoiding training-serving skew and leakage), model serving (online vs batch, the right deployment with shadow/canary), and monitoring (data + concept drift, performance decay, retraining triggers). 6 skills, a decision-tree knowledge bank (serving-pattern + retraining-trigger trees + a dated 2026 map), 12 best-practices, 4 templates, 4 commands, 1 advisory hook. Seams: 'is the result significant?' -> applied-statistics, data pipelines -> data-platform/data-streaming, LLM/agent apps -> claude-app-engineering, deploy infra -> devops-cicd/cloud-native-kubernetes. Requires ravenclaude-core@>=0.7.0.
Autonomous ML research agent: HF ecosystem tools, ML-shaped GitHub search, research-first workflow discipline. Runs training on your HPC.
Cost-tiered subagents (explorer/implementer/test-runner/architect), haiku-powered git and quick-task commands, and a bash safety guard hook.
Auto-captures ML experiment runs via Stop hook. Provides /mllog (manual capture) and /logbook (report generation) commands.
Extract MLS property listings from PDF reports into professionally formatted Excel spreadsheets with subject property highlighting
Software development planning workflow with requirements, ADRs, design specs, tech specs, and task decomposition
Mo โ winded.vertigo's chief marketing officer. Persistent memory across conversations.
Mixture-of-Agents for Claude Code: fan a task out to configurable opencode models (read-only over your repo), coordinated by a subagent, then let Claude aggregate, act, and have the experts review its plan and diff.
MoAI-ADK SPEC plan/run/sync ๊ฐ๋ฐ ๋ฐฉ๋ฒ๋ก ๋ฌด์ค์น ํ๋ฌ๊ทธ์ธ โ moai CLI ์์ด Claude Code/Desktop์์ DDD/TDDยทํ์ง ๊ฒ์ดํธยท๋ฌธ์ ๋๊ธฐํ. ๋น๊ฐ๋ฐ์์ ๊ฐ๋ฐ์ ๋ชจ๋ /moai๋ก ๊ฐ๋ฐ.
์ฌ๋ฌดยท์ธ๋ฌด ์ ๋ด AI ์ง์ โ ์ฌ๋ฌด์ ํ ๋ถ์ยท๊ฒฐ์ฐ ๊ด๋ฆฌยท์ฐจ์ด ๋ถ์ยทIR, ๊ฐ์ธ ์ธ๊ธ ์ ์ฝยท๊ฐ๊ณ ์์ฐยทํฌ์ ์ ๋ฌธยท๋ณดํ ์ ํฉ์ฑ ์คํฌ 11์ข . OpenDART ์ ์๊ณต์ MCP ์ฐ๋. ์ด๋ฐ ๋ถ๊ป ์ถ์ฒ: ์ฌ์ ์ยท์ฌ๋ฌด ๋ด๋น์ยท๊ฐ์ธ ์ฌํ ํฌ ์ ๋ฌธ์. โป ์ธ๋ฌด์ฌยทํ๊ณ์ฌ ์๋ฌธ ๋์ฒด๊ฐ ์๋ ์ฐธ๊ณ ์๋ฃ์ ๋๋ค.
๋ฐ์ดํฐยท๊ณต๊ณต๋ฐ์ดํฐ ๋ถ์ ์ ๋ด AI ์ง์ โ ๋ฐ์ดํฐ ํ๋กํ์ผ๋งยท์๊ฐํ, ๊ณต๊ณต๋ฐ์ดํฐ ์กฐํ(๋ถ๋์ฐยท๊ฒฝ๋งคยท์ฃผ์ยทKOSISยท๊ฑด์ถ๋ฌผ๋์ฅยทDART ์ ์๊ณต์) ์คํฌ 11์ข . KOSIS ํต๊ณยท๊ฑด์ถHUBยทDART MCP ์ฐ๋. ์์ฐ์ด ์์ฒญ ์ ๋งค์นญ ์คํฌ์ด ์๋ ํธ์ถ๋ฉ๋๋ค. ์ด๋ฐ ๋ถ๊ป ์ถ์ฒ: ๋ฐ์ดํฐ ์ ๋๋ฆฌ์คํธยท์ฌ๋ฌด์งยท๊ธฐํ์ยท์์์ ์ด์์.
๊ตฌ์ง์ ํธ ์ปค๋ฆฌ์ด ์ฝ์นญ ์ ๋ด AI ์ง์ โ ์ด๋ ฅ์ยทํฌํธํด๋ฆฌ์ค ์ฒจ์ญ, ๋ฉด์ ์ค๋น, ์ด์ง ์ ๋ต๊น์ง ์ปค๋ฆฌ์ด ์ ํ ์ค๋ฌด ์คํฌ. ์ธ์ฌ์ฑ์ฉ(๊ณ ์ฉ์ฃผ ํธ)๊ณผ ๊ตฌ๋ถ๋๋ ๊ตฌ์ง์ ๊ด์ ์ ๋๋ค. ์ด๋ฐ ๋ถ๊ป ์ถ์ฒ: ์ด์ง ์ค๋น์ยท์ทจ์ ์ค๋น์ยท์ฃผ๋์ด ์ง์ฅ์ธ.
๊ฒฝ์ยท์ฐฝ์ ์ปจ์คํ ์ ๋ด AI ์ง์ โ ์ฌ์ ๊ณํ์ยท๋น์ฆ๋์ค ๋ชจ๋ธยท์์ฅ ๋ถ์(TAM/SAM/SOM)ยท๊ฒฝ์ ์ง๋จ ๋ธ๋ฆฌํยท์ ๋ถ ์ง์์ฌ์ ๋งค์นญยท์๊ถ๋ถ์ ๋ณด๊ณ ์๊น์ง ์ ๋ต ์ค๋ฌด ์คํฌ 6์ข . ์ด๋ฐ ๋ถ๊ป ์ถ์ฒ: ์๋น ์ฐฝ์ ์ยท์์๊ณต์ธยท์คํํธ์ ์ด์์.