Results for “jargon”

15 skills
More results
kbarbel640-del
Ouyang
Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.
1 · bundle
lucassantana-dev
RAG
Build and debug Retrieval-Augmented Generation pipelines — chunking, embedding, retrieval, reranking
1 · bundle
akillness
Caveman
Enables persistent ultra-compressed technical communication; use for explicit brevity or token-reduction requests, except where fragments risk safety or clarity.
42
kensaurus
Domain Modeling
Build and sharpen a project's domain model — a CONTEXT.md glossary and ubiquitous language. Use when pinning down terminology, or the agent "uses the wrong words". Repo decision-memory system (INDEX.md, rejected alternatives) → docs-adr.
8
rexshihaoren
Grill With Docs
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
5 · bundle
fradser
Domain Modeling
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
580 · bundle
machenjie
Message Queue Design
`task-agent`/`review-agent`: use when broker delivery, ordering, acknowledgement, DLQ, backpressure, or replay changes; skip synchronous retry without message semantics.
4 · bundle
emilkowalski
Animation Vocabulary
Look up the precise term for a web animation or motion effect from a vague description, such as 'the bouncy thing when a popover opens' → 'Pop in'.
5k
demerzels-lab
Dgr
Produces a machine-validated, auditable JSON decision record with assumptions, risks, recommendation, and review gating for high-stakes decisions.
10 · bundle
dokhacgiakhoa
Brainstorming
Socratic questioning protocol + user communication.
505 · bundle
modbender
Dgr
Audit-ready decision artifacts for LLM outputs — assumptions, risks, recommendation, and review gating (schema-valid JSON).
12 · bundle
yanacuti1121
Headroom
Context compression for YAMTAM — nén JSON/structured tool output trước khi vào LLM. Hiệu quả với JSON (50-72% tiết kiệm); text thuần cần bản [all].
2
kbarbel640-del
Dgr
Produces auditable, schema-valid JSON decision records with assumptions, risks, recommendations, and review gating for high-stakes choices.
1 · bundle
github
Noob Mode
Translates Copilot CLI prompts, errors, and technical output into plain English with color-coded risk indicators for non-technical users.
36.2k · bundle