renatocaliari/cali-tech-planning

Tech Planning Sequencing

Tools: See references/cli-tools/subagents.md for subagent patterns, references/cli-tools/goals.md for goal commands.

This skill executes the Tech Planning phase. It can be run:

1. Standalone: /skill:cali-tech-planning — after Shape Up and Critique
2. Via Orchestrator: Called by /skill:cali-product-workflow

Prerequisites

Security check: Read the YAML frontmatter of spec-product.md:

head -10 spec-product_{v}.md | grep "approved:"

• ✅ approved: true → proceed
• ❌ No approved: true → GO BACK to Phase 6. Do not proceed.

This check is deterministic — does not depend on memory.

AI-Aware Testing Check

For software products, also check product_type:

head -10 spec-product_{v}.md | grep "product_type:"

• ✅ product_type: software or product_type: hybrid → activate cali-testing-ai-code
• ❌ product_type: service → skip testing strategy

References Index

Read the references/ files to guide the process:

| File | Covers | When to read | |---|---|---| | references/tech-context.md | Tech planning context, prerequisites, workflow position | Before starting — sets planning context | | references/scopes-and-sequencing.md | Scope types (feature/optimization/spike + test-*), executor routing, sequencing principles | During generation — defines scope structure | | references/tech-output.md | Tech plan output format, frontmatter, receipts | After generation — formats output | | references/generation-principles.md | Generation principles, constraints, quality standards | During generation — guides implementation |

Process

7a. Scope Generation

Use the references above to generate technical scopes:

subagent({
  agent: "planner",
  task: `Generate tech scopes for the approved spec-product.md using references/.

1. Check strategic stability (Step 0)
2. Codebase awareness check (Step 1)
3. Technical risk analysis (Step 2)
4. Identify spikes (Step 3)
5. Define typed scopes: feature | optimization | spike (Step 4)
6. Sequence (riskiest-first or ui-first) (Step 5)
7. Detail each scope with DoD + acceptance criteria (Step 6)
8. Format per output-format.md (Step 7)

Output: .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-tech_{v}.md
Input: .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-product_{v}.md`,
  output: ".cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-tech_{v}.md"
})

Output: .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-tech_{v}.md Input: .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-product_{v}.md

7b. AI-Aware Testing Strategy (Software Products Only)

If product_type: software or product_type: hybrid:

1. Generate testing-strategy.md:

subagent({
  agent: "cali-testing-ai-code",
  task: `Generate testing strategy for software product.
Input: spec-product.md (frontmatter with product_type: software)
Output: .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/testing-strategy.md

Include:
- Mutation score targets (70/50/30%)
- Tech stack detection
- CI/CD gates (hard blocks)
- Anti-patterns (over-mocking, 100% coverage)`,
  output: ".cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/testing-strategy.md"
})

2. Add test- scopes to spec-tech.md:*

Based on testing-strategy.md, add scopes for:

• test-unit: Unit tests for critical business logic (TDD recommended)
• test-integration: Integration tests for DB, APIs, external services
• test-security: Security scanning gates
• test-mutation: Mutation testing validation

Note on TDD: Research shows TDD alone is insufficient for AI-generated code.

• Use TDD for critical business logic (isolated, deterministic)
• Use Test-After + Mutation for standard paths
• Never use same AI for both code AND test generation

5b. Tech Planning Review Gate

⚠️ MANDATORY — NEVER SKIP unless spec-tech was already approved.

Run Plannotator gate for the tech plan BEFORE generating goals:

plannotator annotate .cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-tech_{v}.md --gate

See references/cli-tools/plannotator.md for command format, after-approval workflow, and frozen file rules.

| Scenario | Action | |---------|--------| | Standalone Tech Planning | ALWAYS run gate — visual review of all scopes | | Post Shape-Up + Interface | Gate already ran → SKIP this step | | Post Shape-Up, no Interface | Gate already ran → SKIP this step |

If approved:

1. Stamp approved: true, approved_at: ... in spec-tech.yaml frontmatter
2. Create receipt in approvals/ directory
3. Proceed to Goal Generation

If user requests changes:

1. Adjust the tech plan
2. Re-submit via plannotator annotate ... --gate
3. Repeat until approved

5c. Goal Generation (Step 9)

After tech plan approval, convert each scope into a /sisyphus goal with DoD as completion criteria:

For each scope in the approved spec-tech.md:

/sisyphus Scope: {scope_name}

Steps:
1. {step 1}
   Done: {criterion}
2. {step 2}
   Done: {criterion}
...

DoD: {scope DoD}
AC: {acceptance criteria}
Deps: {scope dependencies}

Optimization/spike scopes with metrics → /skill:autoresearch-create (they become experiment loops, not goals)

Rules:

• Scopes with dependencies: create goal AFTER the dependency is complete
• Use pause_goal with reason if a scope gets blocked
• /goal-tweak for scope adjustments during execution

Output

Tech plan is saved to:

.cali-product-workflow/{YYYY-MM-DD}/{_dir}/plans/spec-tech_{v}.md

After Tech Planning — EXECUTE AUTOMATICALLY

DO NOT ask user what to do next. Execution is automatic.

After Plannotator approval on spec-tech_v{N}.md:

1. Run /skill:cali-product-scope-executor for scope routing
2. Execute scopes based on type:
   • feature → /sisyphus + /supervise
   • optimization → /skill:autoresearch-create
   • test-unit, test-integration, test-security, test-behavior → /sisyphus (with testing gates)

See phases/execution.md for full execution flow.

Testing Gates (test-* scopes)

For test-* scopes, the execution includes hard blocks:

• test-mutation: mutation_score >= target → BLOCK if below
• test-security: security_findings == 0 on critical paths → BLOCK if found
• test-integration: flaky_rate < 5% → WARN if above

See skills-execution/cali-testing-ai-code/SKILL.md

Related Skills

• cali-shape-up: Produces the shaped proposal
• cali-plan-critique: Reviews the proposal before tech planning
• cali-product-workflow (orchestrator): Coordinates this skill with execution

Environment Adaptation

If a tool is unavailable, check: ../../../cali-product-workflow/references/cli-tools/