dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
General-purpose self-healing loop that learns from past failures, retries safely, and records reusable fixes.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install dalomeve/memory-self-healExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Use this skill when the agent starts failing repeatedly, stalls, or keeps asking the user for steps that could be inferred from prior evidence.
Trigger when any of these appear:
Scan these in order; skip missing paths silently:
memory/ (or equivalent workspace memory path)tasks/ or queue filesskills/*/SKILL.md) for known fallback recipesTOOLS.md, CAPABILITIES.md, AGENTS.md)Shell examples (use whichever shell is active):
# PowerShell
Get-ChildItem -Recurse memory, tasks -ErrorAction SilentlyContinue |
Select-String -Pattern "error|blocked|retry|fallback|auth|token|proxy|timeout|context" -Context 2
# POSIX shell
rg -n "error|blocked|retry|fallback|auth|token|proxy|timeout|context" memory tasks 2>/dev/null
Classify first, then act:
syntax_or_args: command syntax/argument mismatchauth_or_config: key/token/env/config missing or invalidnetwork_or_reachability: timeout, DNS, handshake, region restrictionsui_login_wall: page requires manual login/attachresource_limit: context window, rate limit, memory pressurefalse_done: no artifact/evidence but reported completeunknown: no confident classCes informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Memory Self-Heal Skill Use this skill when the agent starts failing repeatedly, stalls, or keeps asking the user for steps that could be inferred from prior evidence. ## Goals 1. Recover execution without user micromanagement 2. Reuse previous fixes from memory/logs/tasks 3. Escalate only with minimal unblock input when truly blocked 4. Leave reusable evidence for future runs ## When To Trigger Trigger when any of these appear: - Same or similar error occurs 2+ times in one task - Tool call fails due to argument mismatch, missing config, auth wall, or context overflow - Agent claims completion without verifiable artifact - Task progress stalls (no new artifact across 2 cycles) ## Inputs - Current task objective - Latest error/output - Available evidence locations (memory, tasks, logs) ## Portable Evidence Scan Order Scan these in order; skip missing paths silently: 1. `memory/` (or equivalent workspace memory path) 2. `tasks/` or queue files 3. runtime logs / channel logs 4. skill docs (`skills/*/SKILL.md`) for known fallback recipes 5. core docs (`TOOLS.md`, `CAPABILITIES.md`, `AGENTS.md`) Shell examples (use whichever shell is active): ```powershell # PowerShell Get-ChildItem -Recurse memory, tasks -ErrorAction SilentlyContinue | Select-String -Pattern "error|blocked|retry|fallback|auth|token|proxy|timeout|context" -Context 2 ``` ```bash # POSIX shell rg -n "error|blocked|retry|fallback|auth|token|proxy|timeout|context" memory tasks 2>/dev/null ``` ## Failure Classification Classify first, then act: - `syntax_or_args`: command syntax/argument mismatch - `auth_or_config`: key/token/env/config missing or invalid - `network_or_reachability`: timeout, DNS, handshake, region restrictions - `ui_login_wall`: page requires manual login/attach - `resource_limit`: context window, rate limit, memory pressure - `false_done`: no artifact/evidence but reported complete - `unknown`: no confident class ## Recovery Policy (3-Tier) ### Attempt 1: Direct Fix - Ap...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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