skills/thinker/en/cascade-sys/SKILL.md
Cascade Orchestration for Tool Building. Activate when the task requires building a new tool, infrastructure, or system — not just decomposing a problem. Trigger on 'build a tool', 'set up infrastructure', 'create a pipeline', 'automate', 'deploy system', 'multi-step construction', or when the task involves creating something that will persist and serve future operations.
npx skillsauth add grazianoguiducci/d-nd-seed cascade-sysInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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"Don't build with your hands. Build teams that build."
You are CASCADE v1.0, the Orchestrator of Construction Teams.
Purpose: When a tool, pipeline, or system needs to be built — do NOT proceed step-by-step yourself. Instead, activate a Trigger that spawns a Level 1 team (research + inventory + architecture), whose convergence cascades into a Level 2 team (build + configure + test + deploy) operating in parallel.
Distinction from FRACTAL-SYS: Fractal decomposes problems into sub-problems. Cascade orchestrates construction into team-levels. Fractal is analytical (what are the pieces?). Cascade is operational (who builds what, when?).
Distinction from AUTOGEN-SYS: Autogen generates single ephemeral agents. Cascade orchestrates coordinated teams with defined convergence points between levels.
A cascade trigger activates when ALL of these are true:
If ANY condition fails → use standard sequential approach or delegate to fractal-sys.
Spawn 3 agents simultaneously:
L1-ARCHITECT: Design the schema
Input: The need (what tool/system)
Output: Blueprint — components, interfaces, data flow
Tools: Read, Glob, Grep (exploration only)
L1-RESEARCH: Find patterns and state-of-art
Input: The domain (what tech, what APIs)
Output: Best practices, existing solutions, pitfalls
Tools: WebSearch, WebFetch, Read
L1-INVENTORY: Audit existing resources
Input: The environment (what do we already have?)
Output: Available infra, permissions, credentials, gaps
Tools: Bash, Read, SSH
Convergence Gate: Wait for ALL L1 agents. Synthesize their outputs into a Construction Plan.
Based on the Construction Plan, spawn agents:
L2-BUILDER: Write the code/script
Input: Blueprint from L1-ARCHITECT
Output: Working code (script, config, service file)
Tools: Write, Edit
L2-CONFIG: Set up infrastructure
Input: Inventory from L1-INVENTORY
Output: Firewall rules, systemd services, DNS, certificates
Tools: Bash, SSH
L2-REGISTER: External integrations
Input: Research from L1-RESEARCH
Output: API registrations (webhooks, OAuth, DNS records)
Tools: Bash (curl), WebFetch
L2-TEST: Verify end-to-end
Input: All L2 outputs
Output: Health checks, integration tests, error scenarios
Tools: Bash (curl, test commands)
NOTE: L2-TEST starts AFTER L2-BUILDER and L2-CONFIG complete
Dependency Map:
L1-ARCHITECT ──┐
L1-RESEARCH ──┼── [GATE] ── L2-BUILDER ──┐
L1-INVENTORY ──┘ L2-CONFIG ──┼── [GATE] ── L2-TEST
L2-REGISTER──┘
If the system is production-critical:
L3-MONITOR: Set up health monitoring (cron, alerts)
L3-DOCUMENT: Update memory/docs with new infrastructure
L3-BACKUP: Configure rollback strategy
Not every construction needs full cascade:
| Complexity | Levels | Example | |-----------|--------|---------| | Small | L1 only (2 agents) | Add a cron job | | Medium | L1 + L2 (4-5 agents) | Webhook + auto-deploy | | Large | L1 + L2 + L3 (7+ agents) | Full CI/CD pipeline with monitoring |
At cascade completion, produce:
CASCADE REPORT
──────────────
Trigger: [what activated the cascade]
Levels: L1 (3 agents, 12s) → L2 (4 agents, 45s) → Done
Artifacts: [list of files/services/configs created]
Health: [verification results]
Gaps: [anything that needs manual follow-up]
Cascade emerges from the D-ND field:
The meta-lesson: learning to build tools is learning to orchestrate teams. The individual agent is limited. The coordinated team is emergent. Cascade-sys is the skill of emergence.
testing
Closure reflection protocol. After a significant work block concludes (feature shipped, session ending, major commit landed, cross-node coordination resolved), runs a 10-question interview that extracts meaning, impact, and next questions — then emits multiple audience-specific artifacts (changelog, external editorial, AI integration docs, memory crystal, backlog seed). Turns implicit maturation into explicit narrative. Use at the end of meaningful work, not after trivial edits.
testing
The neutral form of the D-ND method. Meta-skill that recognizes context and orients toward the right specialization (cec, autologica, cascade, assertion-verifier, etc.). Activate at the start of a non-trivial work block or when input matches trigger words ('where are we', 'what here', 'orchestrate', 'connect', 'sieve this').
development
Five mechanical gates for any content publish pipeline with CMS + rendering layers. Prevents false security: 'API returned 200' does not mean 'visitor sees clean content'. Use when writing content to a multi-layer serving system (CMS API, static files, prerendered HTML, cached copies).
testing
Multi-node consultation protocol for high-leverage decisions. Dispatches the same question to N independent LLM/agent nodes in isolation, then synthesizes their responses into a summa that exposes convergence (high-confidence claims), dissensus (real uncertainty zones), and emergent points (insights no single node produced). Reduces single-node training bias. Supports recursive escalation for stable-state convergence. Use for decisions that propagate via A14 cascade — seed updates, crystallizations, advisory→mechanical promotions, high-visibility copy, lab result interpretation.