Results for “task-framing”

13 skills
More results
nvidia
Tao Train Oneformer
Train, evaluate, export, quantize, and run inference for a TAO OneFormer model that performs panoptic, instance, and semantic segmentation using task-conditioned queries.
2.2k · bundle
builderio
Efficient Fable
Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.
3.4k · bundle
machenjie
Profiling
`task-agent`/`review-agent`: use when CPU, memory, I/O, database, network, rendering, or cost needs measured bottleneck evidence; skip without a profiling need.
4 · bundle
lucassantana-dev
Agent Teams
Decompose a task into parallel workstreams, assign agent ownership, run integration at dependency boundaries, and synthesize results.
1 · bundle
machenjie
Transaction Consistency
Use with analysis-agent or task-agent for task-local transaction, isolation, and conflict decisions. Do not use without a transaction decision or as task owner.
4 · bundle
vvieira010-pixel
Scaffolded Task Modifier
Modify a classroom task with language scaffolds that preserve cognitive demand for EAL learners. Use when adapting existing tasks for students at different English proficiency levels.
0
dokhacgiakhoa
Plan Writing
Structured task planning with clear breakdowns, dependencies, and verification criteria.
505 · bundle
machenjie
State Management Design
`task-agent`: use when local, server, global, derived, optimistic, persisted, form, auth, or cache state ownership changes; skip when state boundaries are unaffected.
4 · bundle
diegosouzapw
Takt
Orchestrates multi-agent workflows defined in YAML piece files, delegating tasks to team members and managing state transitions.
54 · bundle
projectious-work
Agent Management
Orchestrate multi-agent workflows with task decomposition, role assignment, handoff protocols, and per-session context budgeting.
0 · bundle
machenjie
Authentication Security
Use with analysis-agent, task-agent, or review-agent for task-local authentication lifecycle and recovery risk. Do not use without that decision or as task owner.
4 · bundle
aibot88
Duet
Two-party working posture — user as director, agent as executor. Every fork, tradeoff, and taste choice is surfaced via batched AskUserQuestion with structural framing, a recommended default, and concrete previews when comparison is visual, so the human steers direction while the agent handles implementation. Eliminates the review-bottleneck (no giant diff to approve at the end — review is distributed across picks) and prevents codebase-understanding debt (the user remembers the architecture because they picked it). Use whenever the user invokes /duet, or says "work with me", "ask before", "check with me", "I want to decide", "don't assume", "human-in-the-loop", "co-author", "pair with me", "duet", or whenever a task clearly involves aesthetic, architectural, or irreversible strategic decisions — even without those exact words. Pair with the Duet output style to minimize cognitive load between picks.
3 · bundle