agent-implementation-skilllisted

Multi-model agent implementation workflow for software development. Orchestrates research, evaluation, design baseline, implementation, RCA, structured decomposition, constraint discovery, model selection, and agent-driven Stage 3 codemap exploration across external AI models (GPT, GLM, Claude). Use when implementing features through a structured multi-phase pipeline with planspace/codespace separation, dynamic scheduling, and SQLite-backed agent coordination.
nestharus/agent-implementation-skill · ★ 3 · AI & Automation · score 74

Install: claude install-skill nestharus/agent-implementation-skill

# Development Workflow Single entry point for the full development lifecycle. Read this file, determine what phase you're in or what the user needs, then read the relevant sub-file from this directory. ## Paths Everything lives in this skill folder. WORKFLOW_HOME is: !`dirname "$(grep -rl '^name: agent-implementation-skill' ~/.claude/skills/*/SKILL.md .claude/skills/*/SKILL.md 2>/dev/null | head -1)" 2>/dev/null` When dispatching scripts or agents, export `WORKFLOW_HOME` with the path above. Scripts also self-locate via `dirname` as a fallback when invoked directly. ``` $WORKFLOW_HOME/ SKILL.md # this file — entry point implement.md # multi-model implementation pipeline research.md # exploration → alignment → proposal rca.md # root cause analysis evaluate.md # proposal review baseline.md # constraint extraction audit.md # concern-based problem decomposition constraints.md # constraint discovery models.md # model selection guide scripts/ workflow.sh # schedule state markers ([wait]/[run]/[done]/[fail]) — internal, not the entry point db.sh # SQLite-backed coordination database tools/ extract-docstring-py # extract Python module docstrings extract-summary-md # extract YAML frontmatter from markdown README.md # tool interface spec (for Opus to write new tools) <system>/agents/ # agent defini