
rt-ica
by Jamie-BitFlight
Skills plugin for Anthropic's Claude Code
SKILL.md
name: rt-ica description: 'Reverse Thinking - Information Completeness Assessment. Mandatory pre-planning checkpoint that blocks planning until prerequisites are verified. Use when receiving specs, PRDs, tickets, RFCs, architecture designs, or any multi-step engineering task. Integrates with CoVe-style planning pipelines. Invoke BEFORE creating plans, delegating to agents, or defining acceptance criteria.' user-invocable: true
RT-ICA: Reverse Thinking - Information Completeness Assessment
Purpose
This skill inserts a mandatory RT-ICA checkpoint into planning workflows. For every goal (top-level and each decomposed sub-goal), the model MUST:
- Reverse-think prerequisites from the goal
- Assess information completeness for each prerequisite
- Either BLOCK planning until missing inputs are obtained, or APPROVE with explicit assumptions
<core_rule>
No planning, delegation, scheduling, or solution design may begin until RT-ICA has been performed on:
- The overall goal/request
- Each decomposed goal or sub-goal that could fail due to missing information
If ANY required condition is MISSING, the model MUST stop and request only the missing information.
</core_rule>
Activation Triggers
<activation_triggers>
Invoke RT-ICA when receiving ANY of:
- Spec, request, ticket, user story, PRD, architecture design, RFC
- Request to produce a plan, execution order, agent delegation, guardrails, acceptance criteria, or rollout steps
- Any multi-step engineering effort with dependencies, unknowns, constraints, or risk
Integration Points (where RT-ICA checkpoints MUST occur):
- Before creating the top-level plan
- Before delegating tasks to specialized agents (per-agent input completeness)
- Before finalizing acceptance criteria (verify testability inputs exist)
- Before defining rollout/ops steps (verify env and access inputs exist)
</activation_triggers>
Definitions
| Term | Definition |
|---|---|
| Goal | A desired outcome the user wants |
| Condition | A prerequisite that must be true to achieve the goal |
| Required Information | Concrete data needed to confirm or satisfy a condition |
| AVAILABLE | Explicitly present in the input material |
| DERIVABLE | Inferred with high confidence from provided material (must show basis) |
| MISSING | Not present and not safely inferable |
RT-ICA Procedure
Apply this procedure to each goal and sub-goal:
Step 1: Goal Reconstruction
Produce:
- Goal statement: One sentence describing the desired outcome
- Output form: What deliverable proves success (artifact, behavior, metric, deployment state)
- Scope boundaries: In-scope/out-of-scope if stated
Step 2: Reverse Prerequisite Enumeration
Work backwards from the goal to list ALL conditions required for success.
<condition_categories>
Include conditions in these categories (where applicable):
| Category | Example Conditions |
|---|---|
| Functional requirements | Features, behaviors, user flows |
| Non-functional requirements | Latency, throughput, availability, compliance, security |
| Interfaces/Integration | APIs, schemas, dependencies, external systems |
| Environment/Runtime | Cloud, region, OS, language, build system |
| Data requirements | Sources, quality, migration, retention |
| Access/Permissions | Repos, secrets, credentials, IAM |
| Operational constraints | SLOs, oncall, monitoring, incident response |
| Delivery constraints | Timeline, release process, approvals |
| Verification needs | Tests, canaries, acceptance criteria, observability |
| Risks/Failure modes | Rollback, data loss, security exposure |
</condition_categories>
For each condition, specify:
- Condition name
- Required information to verify/satisfy it
- Why it matters (one line)
Step 3: Availability Verification
For each condition, set status:
| Status | Evidence Required |
|---|---|
| AVAILABLE | Cite exact source snippet or section name |
| DERIVABLE | State the inference and basis |
| MISSING | State exactly what information is needed |
Step 4: Completeness Decision
IF any condition is MISSING:
DECISION = BLOCKED
ELSE:
DECISION = APPROVED
Step 5: Action Based on Decision
<decision_actions>
IF BLOCKED:
- Do NOT plan
- Ask ONLY for missing inputs
- Structure questions by category, ordered by criticality
- Prefer multiple-choice or constrained questions when possible
- If user explicitly requests assumption-based planning:
- Proceed with explicit assumptions for each missing condition
- Include risk note per assumption
- Add validation tasks to confirm assumptions early
IF APPROVED:
- Proceed to normal planning
- Carry forward the validated condition list
- Mark DERIVABLE items as "assumptions to confirm"
- Enforce constraints as guardrails
</decision_actions>
Output Format
<output_format>
The model MUST produce this summary block for each goal/sub-goal:
RT-ICA SUMMARY
==============
Goal:
- [one sentence]
Success Output:
- [deliverable/observable result]
Conditions (reverse prerequisites):
1. [Condition] | Requires: [info] | Why: [1 line]
2. [Condition] | Requires: [info] | Why: [1 line]
...
Verification:
- [Condition 1]: [AVAILABLE|DERIVABLE|MISSING] | Evidence/Basis: [text]
- [Condition 2]: [AVAILABLE|DERIVABLE|MISSING] | Evidence/Basis: [text]
...
Decision:
- [APPROVED|BLOCKED]
--- IF BLOCKED ---
Missing Inputs Requested:
[Category]:
- [missing item question] (why needed)
- [missing item question] (why needed)
[Category]:
- [missing item question] (why needed)
--- IF APPROVED ---
Assumptions to Confirm (DERIVABLE only):
- [assumption] | Basis: [basis] | Validation step: [how to confirm early]
</output_format>
Integration with CoVe-Style Planning
<cove_integration>
Recommended sequence with RT-ICA:
A) RT-ICA on top-level goal
B) Draft plan and decomposition
C) RT-ICA on each major workstream/sub-goal
D) Assign agents with clearly bounded deliverables
E) Verification pass: cross-check plan against conditions and acceptance criteria
F) Refinement pass: resolve gaps, reduce risk, ensure ordering and guardrails
</cove_integration>
Planning Deliverables (After APPROVED)
<planning_deliverables>
After RT-ICA APPROVED decision, produce a plan that includes:
| Section | Contents |
|---|---|
| Workstreams | Logical groupings and ordering |
| Agent Assignment | Which agent handles each workstream |
| Guardrails | Safety, security, correctness, operational constraints |
| Acceptance Criteria | Testable, measurable success conditions |
| Risk Register | Top risks, mitigations, rollback strategy |
| Dependencies | Internal and external dependencies |
| Verification Plan | Tests, monitoring, canary, QA |
| Change Management | Rollout, communications, documentation |
</planning_deliverables>
Guardrails
The model MUST NOT:
- Fabricate unknown inputs
- Silently assume missing requirements
- Begin planning with MISSING conditions (unless user explicitly requests assumption-based planning)
The model MUST:
- Keep missing-input questions minimal and high signal
- Prefer early validation tasks for DERIVABLE items
- Block planning when information is insufficient
Question Templates
<question_templates>
When requesting missing inputs, use structured questions:
Environment/Infrastructure:
- "What is the target environment (prod/stage/dev), and where will this run (cloud/region/account)?"
Success Criteria:
- "What are the success metrics or acceptance criteria (latency, correctness, SLO)?"
Integration:
- "Which systems/APIs are in scope, and what are their interface contracts (schema/version)?"
Technical Constraints:
- "Are there constraints on language/framework/build tooling?"
Approvals:
- "Who owns approvals for release and security review (if required)?"
</question_templates>
Example: RT-ICA in Action
User Request: "Build a user authentication service"
RT-ICA Summary:
RT-ICA SUMMARY
==============
Goal:
- Implement user authentication service for the application
Success Output:
- Deployed service that authenticates users and issues session tokens
Conditions (reverse prerequisites):
1. Auth protocol | Requires: OAuth2/OIDC/custom spec | Why: Determines implementation approach
2. User store | Requires: Database type, schema | Why: Persistence layer dependency
3. Session management | Requires: Token format, expiry rules | Why: Security policy compliance
4. Integration points | Requires: API consumers list | Why: Interface contract design
5. Security requirements | Requires: Compliance standards (SOC2, HIPAA) | Why: Audit requirements
6. Deployment target | Requires: Cloud/region/infra | Why: Runtime configuration
Verification:
- Auth protocol: MISSING | Need: Which protocol to implement
- User store: DERIVABLE | Basis: Project uses PostgreSQL per docker-compose.yml
- Session management: MISSING | Need: Token format and expiry policy
- Integration points: MISSING | Need: List of services calling auth
- Security requirements: MISSING | Need: Compliance requirements if any
- Deployment target: AVAILABLE | Evidence: README specifies AWS us-east-1
Decision:
- BLOCKED
Missing Inputs Requested:
Authentication Design:
- Which auth protocol: OAuth2, OIDC, or custom JWT? (determines implementation)
- Session token expiry policy? (security requirement)
Integration:
- Which services will consume this auth service? (API contract design)
Compliance:
- Are there compliance requirements (SOC2, HIPAA, etc.)? (audit scope)
Anti-Patterns
<anti_patterns>
Planning without RT-ICA:
User: "Build auth service"
Model: "Here's my plan: 1. Create user table, 2. Add login endpoint..."
Problem: Assumed requirements, will likely need rework
Asking too many questions:
Model asks 20 questions about edge cases before understanding core requirements
Problem: Overwhelms user, delays progress on high-signal items
Proceeding with silent assumptions:
Model: "I'll assume OAuth2 since that's common..."
Problem: Assumption may be wrong, causes rework or security issues
</anti_patterns>
Related Skills
agent-orchestration- Scientific delegation framework for orchestrator-to-agent workflowssubagent-contract- DONE/BLOCKED signaling protocol for sub-agents
Sources
| Source | Attribution | Access Date |
|---|---|---|
| RT-ICA Framework | Liu et al., 2025 - Reverse Thinking Enhances Missing Information Detection in LLMs | 2026-01-20 |
| CoVe (Chain of Verification) | Dhuliawala et al., 2023 - Chain-of-Verification Reduces Hallucination | 2026-01-20 |
Note: This skill adapts the RT-ICA (Reverse Thinking for Information Completeness Assessment) framework for planning workflows.
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