agile-v-behavioral
From the author
Anti-pattern prevention guidelines for Agile V agents. Prevents common LLM coding mistakes while maintaining Agile V traceability. Use when implementing requirements to avoid overcomplication, silent assumptions, scope creep, and verification failures.
Install
npx skills add Agile-V/agile_v_skills --skill agile-v-behavioral -a claude-code
Installs to .claude/skills/agile-v-behavioral/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (CC-BY-SA-4.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 80
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- karpathy-guidelinesmxyhi/ok-skillsBehavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.Writing★ 506
- agile-v-control-matrixAgile-V/agile_v_skillsDefines and checks the Agile-V control matrix for agentic tasks, skills, model use, tools, logs, rights, Human Gates, tests, costs, rollback, and owners. Load when creating, reviewing, or enforcing `.agile-v/CONTROL_MATRIX.yaml` or runtime governance for agentic execution.Testing★ 54
- anti-patternsavelikiy/great_ctoCatalogue of known SDLC anti-patterns that great_cto agents must actively reject when reviewing architecture, plans, code, or post-mortems. Used by architect (pre-impl), pm (planning), senior-dev (impl), l3-support (post-incident).Planning★ 105
- agile-v-complianceAgile-V/agile_v_skillsRisk management, CAPA protocol, human gate approval records, AI agent security controls, and periodic revalidation. Load when running gates, handling CAPAs, or auditing compliance and security posture.Legal★ 54
- llm-app-patternstranhieutt/software_development_departmentProvides architectural patterns for LLM-powered applications and AI assistants, including prompt engineering, RAG, agent loops, conversation management, and evaluation. Use when building AI-based features, chatbots, or complex AI system architectures.Planning★ 74
- loop-architectfabricioctelles/skillsDesign well-structured agent loops with best-practice coaching and cross-model review gates before you run them. Use when the user wants to design, build, or set up an agent loop, iterative agent workflow, self-review loop, LLM-as-judge loop, multi-model council, reviewer/judge gate, or goal-driven looping process. Guides goal refinement, typed verification criteria, reviewer/judge selection, privacy boundaries, termination guards, and observability, then emits a RUN_IN_SESSION.md handoff prompt plus portable loop.yaml, loop.resolved.json, LOOP.md, and run-loop.py.Planning★ 120
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in