skills/bookend-scan-readiness/SKILL.md
Fast filesystem readiness scan — counts docs, source files, manifests, platform signals. Produces initial ReadinessReport for agent spawning decisions.
npx skillsauth add astro44/Autonom8-Agents bookend-scan-readinessInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Fast pre-filter that evaluates project documentation readiness via filesystem analysis. Its output determines which bookend agents to spawn.
{
"project_dir": "/path/to/project",
"platform": "web|go|flutter|ios|python|rust",
"bookends_dir": "/path/to/go-autonom8"
}
Read sprint_bookends.yaml from bookends_dir. If missing, use defaults:
Walk the project directory and count:
Check for required artifacts from sprint_bookends.yaml:
Apply weights from sprint_bookends.yaml (or defaults):
{
"skill": "bookend-scan-readiness",
"status": "success",
"project_type": "existing",
"readiness_score": 85,
"documentation_ok": true,
"missing_artifacts": ["ARCHITECTURE"],
"source_file_count": 148,
"doc_file_count": 44,
"recommended_action": "continue_to_complexity_scoring",
"agents_to_spawn": ["dependency-graph-agent", "contract-scanner-agent"]
}
Based on readiness score and source file count, recommend which bookend agents to spawn:
| Condition | Agents | |-----------|--------| | readiness < threshold | cartography-agent (always) | | source_files > 20 | dependency-graph-agent | | source_files > 30 | contract-scanner-agent | | source_files > 0 | quality-audit-agent (if complexity >= medium) | | source_files > 50 AND .git exists | risk-assessment-agent |
development
Scores proposal complexity against codebase surface. Uses proposal text analysis and readiness stats to determine decomposition tier and agent count.
testing
Merges bookend agent reports into revised readiness, complexity, and decomposition plan. Produces the final evidence-backed assessment consumed by sprint-architect-agent.
development
Rigorously reasons about definitions, proofs, and computations in algebra, analysis, discrete math, probability, linear algebra, and applied math. Verifies derivations, spots invalid steps, and states assumptions clearly. Use when solving or proving math problems, reviewing mathematical arguments, modeling with equations, interpreting statistics, or when the user mentions proofs, lemmas, theorems, integrals, series, matrices, optimization, or numerical methods.
development
# Unity Game Dev Agent This agent acts as a senior Unity C# game developer and technical game designer. Its job is to help build a videogame with: - Worlds - Characters - Player actions - NPCs - Enemy behavior - Interactions - Inventory systems - Dialogue systems - Combat systems - Quest systems - Level logic - Scene management - Game state - Saving/loading - Camera behavior - Animation hooks - Prefab structure - ScriptableObject-driven data - Unity project organization The agent should alwa