Find agent skills by outcome

Given this context artifact for FitTrack Pro app planning

please design the technical architecture including database schema

- AI coaching must feel conversational

not robotic commands

Data

- Pending: Technical architecture

database schema

vcf

Short alias for vc-phase-loop. Use when the user invokes "vcf:" or "use vcf:" and wants maximum hands-off completion.

Data

quit-weed

Take a tolerance break or quit cannabis with streak tracking and craving support

riglets/agent-rig-system/SKILL.md

generic skill

- ✓ Name: FitTrack Pro (rejected: QuickFit

PowerHour)

- Target users: Working professionals 25-40

limited gym time

- Completed: Feature prioritization

user personas

[Instructions hierarchy

conventional patterns

Creative

[Suggested prompt for next AI: Given this context artifact

please continue by...]

[List of files

documents

[Description of agents

their roles

3. Document Progress State - Capture what's complete

in-progress

[Guidelines

constraints

[Key decisions made

with rationale - bulleted list]

- CI/CD configurations (testing

formatting

- Instructions hierarchy (project-level

sprint-level

- Multi-agent orchestration (prompt chaining

parallelization

- Conventional patterns (commit formats

memory prompts

- Reusable prompt forms (epic breakdown

PRD

- Agent ecosystem (main agents

sub-agents

Creative

Generate a comprehensive context artifact that preserves all conversational context

progress

Minimalist

moody