ReddRadar
Topic: agentic-workflow
2,980 skills in this topic.
-
spec-creation
Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.
a5c-ai/babysitter 514
-
spec-execution
6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.
a5c-ai/babysitter 514
-
cog-braindump-capture
Capture raw thoughts with automatic domain classification and vault routing
a5c-ai/babysitter 514
-
cog-daily-intelligence
Generate personalized verified news briefs with 7-day freshness and 95%+ source accuracy
a5c-ai/babysitter 514
-
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution
a5c-ai/babysitter 514
-
cog-meeting-processing
Process meeting recordings and transcripts into decisions, action items, and team dynamics
a5c-ai/babysitter 514
-
cog-onboarding
Personalize COG Second Brain workflow through role pack selection and vault initialization
a5c-ai/babysitter 514
-
cog-team-intelligence
Cross-reference GitHub, Linear, Slack, and PostHog with bidirectional sync for team briefs
a5c-ai/babysitter 514
-
cog-url-extraction
Save URLs with auto-extracted insights, credibility scoring, and vault routing
a5c-ai/babysitter 514
-
cog-weekly-reflection
Cross-domain pattern analysis with personal, professional, and project domain synthesis
a5c-ai/babysitter 514
-
code-review-pipeline
Multi-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.
a5c-ai/babysitter 514
-
context-engineering
Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.
a5c-ai/babysitter 514
-
continuous-learning
Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
a5c-ai/babysitter 514
-
eval-harness
Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.
a5c-ai/babysitter 514
-
multi-service-orchestration
PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.
a5c-ai/babysitter 514
-
research-first-dev
Research-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins.
a5c-ai/babysitter 514
-
security-scanning
AgentShield security audit with 5 scanning categories, 102 static analysis rules, and optional red-team simulation.
a5c-ai/babysitter 514
-
tdd-enforcement
Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.
a5c-ai/babysitter 514
-
agent-coordination
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
a5c-ai/babysitter 514
-
convoy-management
Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.
a5c-ai/babysitter 514
-
formula-authoring
Author TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.
a5c-ai/babysitter 514
-
issue-tracking
Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.
a5c-ai/babysitter 514
-
merge-queue
Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.
a5c-ai/babysitter 514
-
patrol-monitoring
Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.
a5c-ai/babysitter 514