wingedguardian/genesis-agi/obstacle-resolution

Claude Code and agent skill by wingedguardian/genesis-agi

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Resolve obstacles using fallback chains — use when an approach fails, a dependency is unavailable, an API returns errors, or a task is blocked and needs an alternative path forward

Install

npx vskill@latest install wingedguardian/genesis-agi/obstacle-resolution

SKILL.md

Obstacle Resolution

Purpose

When Genesis encounters a blocker — a failed API call, an unavailable service, a missing capability — systematically resolve it using the fallback chain framework.

When to Use

  • A routing chain is exhausted (all providers failed).
  • A required service is unreachable.
  • A task cannot proceed due to a missing dependency or capability.
  • Automatic retries have been exhausted.

Workflow

  1. Classify the obstacle — What type? (provider failure, data missing,

capability gap, external dependency, permission issue)

  1. Check fallback chain — Load the relevant fallback chain from

fallback_chains.py. Walk the chain in order.

  1. Attempt each fallback — Try each alternative. Log attempts and results.
  2. Escalate if needed — If all fallbacks exhausted:
  • For non-urgent: queue for user review, continue with degraded capability.
  • For urgent: alert user immediately via outreach.
  1. Record resolution — Store the successful resolution path as an

observation. If a new fallback was discovered, propose a procedure update.

Output Format

yaml
obstacle: <one-line description>
date: <YYYY-MM-DD>
type: provider_failure | data_missing | capability_gap | external_dep | permission
chain_attempted:
- step: <fallback step>
result: success | failure
detail: <what happened>
resolution: resolved | degraded | escalated
resolution_detail: <how it was resolved>

Examples

Example: Embedding provider chain exhausted

Trigger: memory_store fails with EmbeddingUnavailableError — Ollama timeout, DeepInfra 429, DashScope connection refused.

Expected output:

yaml
obstacle: All embedding providers exhausted during memory store
date: 2026-03-20
type: provider_failure
chain_attempted:
- step: Ollama (local)
result: failure
detail: ReadTimeout after 60s — model not loaded
- step: DeepInfra (cloud)
result: failure
detail: HTTP 429 rate limit (RPM exceeded)
- step: DashScope (cloud)
result: failure
detail: ConnectionRefusedError — service unreachable
resolution: degraded
resolution_detail: Memory stored FTS5-only (no vector). Queued in
pending_embeddings for background recovery. Circuit breaker tripped
on DashScope (120s backoff).

References

  • src/genesis/learning/fallback_chains.py — Fallback chain definitions
  • src/genesis/routing/ — Router and circuit breaker for provider failures
  • src/genesis/routing/degradation.py — Degradation levels

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

7-day trend score
5

Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/wingedguardian/genesis-agi/obstacle-resolution/badge)](https://verified-skill.com/skills/wingedguardian/genesis-agi/obstacle-resolution)

Something wrong with this skill or its page? Tell us.