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Agent skills
claude-skills

Topic: claude-skills

11,948 skills in this topic.

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
external-tool-coordination Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
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
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
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
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
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
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
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
gsd-tools Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter 514
git-integration Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter 514
frontmatter-parsing YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
a5c-ai/babysitter 514
context-engineering Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.
a5c-ai/babysitter 514
agent-booster WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
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
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
systematic-debugging Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
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
plan-writing Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
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
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
decision-documentation Create Architecture Decision Records (ADRs) documenting significant technical choices with context, options, consequences, and sequential numbering.
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
code-review Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
a5c-ai/babysitter 514