Sponsored by

Find leads on Reddit on auto pilot

Agent skills
agentic-workflow

Topic: agentic-workflow

2,980 skills in this topic.

model-profile-resolution Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter 514
roadmap-management Roadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.
a5c-ai/babysitter 514
state-management STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter 514
template-scaffolding Template loading, variable filling, and scaffolding for all GSD artifacts. Manages 22+ templates covering every document type in the GSD system, from PROJECT.md to milestone archives.
a5c-ai/babysitter 514
verification-suite Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter 514
adversarial-review Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
a5c-ai/babysitter 514
design-review-gate Parallel design review by 6 specialist agents (PM, Architect, Designer, Security Design, UX, CTO) with mandatory unanimous approval.
a5c-ai/babysitter 514
external-tool-coordination Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
a5c-ai/babysitter 514
knowledge-curation Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
a5c-ai/babysitter 514
orchestrated-execution Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.
a5c-ai/babysitter 514
plan-review-gate Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.
a5c-ai/babysitter 514
pr-shepherding Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.
a5c-ai/babysitter 514
work-unit-decomposition Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.
a5c-ai/babysitter 514
brainstorming Clarify vague requirements through exploratory questioning and option generation before committing to research or implementation.
a5c-ai/babysitter 514
code-review Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
a5c-ai/babysitter 514
codebase-research Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.
a5c-ai/babysitter 514
decision-documentation Create Architecture Decision Records (ADRs) documenting significant technical choices with context, options, consequences, and sequential numbering.
a5c-ai/babysitter 514
finishing-work Final completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.
a5c-ai/babysitter 514
plan-implementation Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
a5c-ai/babysitter 514
plan-writing Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
a5c-ai/babysitter 514
security-review Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.
a5c-ai/babysitter 514
systematic-debugging Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
a5c-ai/babysitter 514
test-driven-development Test-first development practice where test specifications are written before production code, integrated into plan tasks as mandatory first sub-steps.
a5c-ai/babysitter 514
verification Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
a5c-ai/babysitter 514