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@f2c9e0a
by shingo imotasimota/agent-skills85 stars
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Delivering working code fastest via build-first product delivery through minimum agent chains; S/M scopes skip planning and build immediately. Use when compressing time-to-first-PR.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/titan

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referenceanti-stall-engine.md

≈1.3k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Anti-Stall Engine

Purpose: Read this file when Titan detects stalled execution, needs the full L1-L5 recovery ladder, or must account for stall budgets and guardrail interactions.

Contents

  • Stall detection
  • Recovery cascade
  • Budget tracking
  • Recovery flowchart
  • Guardrail integration

13-level recovery cascade ensuring Titan never stops before exhausting all options.


Stall Detection

A stall is detected when a phase cycle produces zero progress artifacts (no file changes, no test additions, no decisions recorded, no documents generated).

Detection threshold: 2 consecutive zero-progress cycles trigger the Anti-Stall Engine.

Stall Classification

Type Symptom Typical Cause
Agent Failure Agent returns error or empty result Wrong agent, missing context
Dependency Block Waiting on external input Missing API key, unreachable service
Complexity Block Task too large for single agent Insufficient decomposition
Approach Block Current method not working Wrong methodology
Scope Block Requirements exceed capabilities Feature too ambitious
Technology Block Library/framework limitation Tool doesn't support needed feature

Recovery Cascade

L1: Tactical Recovery (stay within current approach)

Budget: 5 attempts per phase, 10 per project.

1.1 Retry with Context (on first failure)
  • Inject error message and failure context into agent prompt
  • Add relevant code snippets, specify exact expected output format
1.2 Agent Swap (same agent fails twice)
  • Switch to alternative agent: Builder↔Artisan · Sentinel↔Canon · Forge↔Builder · Scout↔Lens · Radar↔Voyager
1.3 Decompose Further (agent succeeds partially)
  • Invoke Sherpa to break failing task into smaller pieces
  • Target: each sub-task completable in a single agent call

L2: Operational Recovery (change methodology, same goal)

Budget: 3 attempts per phase, 5 per project.

2.1 Alternative Approach (L1 exhausted)
  • Switch: TDD↔Prototype-first · Top-down↔Bottom-up · Monolithic↔Modular · REST↔GraphQL
2.2 Skip and Return (other non-blocked work exists)
  • Mark blocked item as DEFERRED, continue with other items
  • Return after other phase work completes (context may resolve block)
2.3 Scope Reduction (feature partially implementable)
  • Reduce to MVP version, cut non-essential requirements
  • Document cuts and add to backlog for future iteration

L3: Strategic Recovery (change direction)

Budget: 1 attempt per phase, 3 per project.

3.1 Phase Reorder (other phases can proceed)
  • Postpone stuck phase, advance to non-blocked phase, return with more context
3.2 Scope Cut (feature blocking critical path)
  • Remove entire features from roadmap (preserve core value proposition)
  • Update SUCCESS_CRITERIA to reflect reduced scope
3.3 Architecture Pivot (architecture is root cause)
  • Fundamental change: Monolith↔Microservices · SSR↔SPA · SQL↔NoSQL · Sync↔Event-driven
  • Requires re-running ARCHITECT phase for affected components
3.4 Technology Swap (specific technology is bottleneck)
  • Replace problematic library/framework via Magi evaluation + Forge prototype

L4: Degradation Recovery (deliver what's possible)

Budget: No limit (graceful degradation always acceptable).

4.1 Partial Delivery (most features work)
  • Ship working parts, create detailed TODO docs for unfinished parts
4.2 Stub Implementation (architecture clear, implementation blocked)
  • Create interfaces/stubs with TODO annotations, full type definitions, tests against stubs
4.3 Documentation-Only (implementation not feasible)
  • Comprehensive design document, implementation guide, all decisions documented

L5: User Escalation (last resort)

Budget: 1 per project per L1-L4 cycle.

5.1 Single Focused Question
  • Must be: Specific · Actionable · Minimal (one question) · Options-based (2-4 choices)

Budget Tracking

## Stall Budget Status
| Level | Phase Budget | Phase Used | Project Budget | Project Used |
|-------|-------------|------------|----------------|--------------|
| L1 Tactical | 5 | [N] | 10 | [N] |
| L2 Operational | 3 | [N] | 5 | [N] |
| L3 Strategic | 1 | [N] | 3 | [N] |
| L4 Degradation | ∞ | [N] | ∞ | [N] |
| L5 User | — | — | 1 | [N] |

Budget resets per phase for L1-L3. Project budget is cumulative across all phases.


Recovery Flowchart

Stall Detected → L1.1 Retry → L1.2 Swap → L1.3 Decompose
  → L2.1 Alt approach → L2.2 Skip+return → L2.3 Scope reduce
  → L3.1 Phase reorder → L3.2 Scope cut → L3.3 Arch pivot → L3.4 Tech swap
  → L4.1 Partial delivery → L4.2 Stub impl → L4.3 Docs-only
  → L5.1 Ask user ONE question → Response → Restart cascade
Each step: Success? → Continue. Fail? → Next level.

Guardrail Integration

Guardrail events (_common/AUTORUN.md § Guardrail Protocol L1-L4) map to Anti-Stall levels: L2 recovery failure → Anti-Stall L1, L3 pause → Anti-Stall L1-L2, L4 abort → immediate halt + rollback. Guardrail auto-recoveries do NOT consume Anti-Stall budget; only failures escalated to Titan do.

Source: SKILL.md on GitHub

2 warnings4mo5 checks · Risk SAFE
  • Gen Agent Trust Hub4mo

    The titan skill is a highly structured product delivery orchestrator that uses a phase-based lifecycle to manage complex build tasks. It incorporates several advanced safety and efficiency mechanisms, including a mandatory agent justification gate, a risk-based decision matrix with cumulative scoring, and an anti-stall recovery engine. No malicious patterns, obfuscation, or unauthorized data access were detected.

  • Socket4mo

    1 alert: gptAnomaly

  • Snyk4mo

    Risk: LOW · No issues

  • Runlayer6mo

    2/9 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at f2c9e0a. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

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