--- name: ai-error-learner description: Catalogs recurring errors as pain points needing skills. Use when same error occurs multiple times. allowed-tools: Read, Write, Edit, Grep, Glob --- # AI Error Learner Skill ## Purpose Catalog recurring errors as AI pain points that need skills to resolve. This skill is the first stage of the self-improvement loop, detecting patterns in errors that warrant automated solutions. ## Auto-Activation Triggers This skill activates when: - Error detector hook flags a recurring error (2+ occurrences) - User mentions "same error again", "keeps failing", or "recurring issue" - AI pain point file contains unprocessed entries - Manual invocation for error pattern review ## CRITICAL: Threshold System **Do not catalog every error. Only recurring patterns warrant action.** ### Error Escalation Thresholds ``` 1st Occurrence → Silent logging (no action) 2nd Occurrence → Create AI Pain Point, propose skill 3rd+ Occurrence → Escalate priority, trigger skill-builder ``` ### Why Thresholds Matter - One-off errors are noise, not patterns - Recurring errors indicate systemic issues - Escalation ensures important patterns get attention - Prevents bloating pain point tracking ## Error Fingerprinting ### Fingerprint Format ``` [TOOL_NAME]-[ERROR_TYPE]-[MESSAGE_PATTERN] ``` ### Examples | Fingerprint | Meaning | |-------------|---------| | `BASH-PERMISSION_DENIED-chmod` | Script permission issues | | `PYTHON-MODULE_NOT_FOUND-gymnasium` | Missing Python module | | `API-TIMEOUT-connection_refused` | External service unavailable | | `EDIT-FILE_NOT_FOUND-config` | Missing configuration file | | `BASH-COMMAND_NOT_FOUND-docker` | Missing CLI tool | ### Fingerprinting Rules 1. **Tool name**: Use uppercase, exact tool name 2. **Error type**: Categorize by error class, not specific message 3. **Message pattern**: First recognizable keyword or path segment 4. **Consistency**: Same error must produce same fingerprint ## Core Workflow ### Step 1: Review Error History Read current error tracking: ```bash cat .claude/pain-points/ai-error-history.json ``` Identify entries with `count >= 2` that don't have a pain point ID. ### Step 2: Analyze Pattern For each recurring error: 1. **Understand context**: What was being attempted? 2. **Identify root cause**: Why does this error occur? 3. **Assess frequency**: How often might this recur? 4. **Determine solution type**: Is this a skill, config, or documentation issue? ### Step 3: Create AI Pain Point Add to `.claude/pain-points/ai-pain-points.md`: ```markdown ### AI-PAIN-NNNN: [Error Summary] **Fingerprint**: `[TOOL]-[TYPE]-[PATTERN]` **Occurrences**: N **First Seen**: YYYY-MM-DD **Last Seen**: YYYY-MM-DD **Error Pattern**: ``` [Representative error message] ``` **Root Cause**: [Analysis of why this occurs] **Proposed Solution**: [Type: Skill/Config/Documentation] [Brief description of solution] **Priority**: [Low/Medium/High/Critical] **Status**: Open ``` ### Step 4: Update Error History Add pain point reference to error history entry: ```json { "errors": { "[fingerprint]": { "pain_point_id": "AI-PAIN-NNNN", ... } } } ``` ### Step 5: Recommend Next Action Based on priority and occurrence count: | Condition | Recommendation | |-----------|----------------| | High priority, 3+ occurrences | Invoke skill-builder immediately | | Medium priority, 2-3 occurrences | Queue for next session | | Low priority | Document and monitor | ## Edge Cases ### Error Too Generic **Condition**: Fingerprint would match too many different errors **Handling**: Add more specific context to fingerprint, or split into sub-patterns ### Error Already Has Skill **Condition**: Skill exists but error still occurs **Handling**: Create improvement ticket for skill-improver instead ### Error Is Configuration Issue **Condition**: Error would be fixed by config change, not skill **Handling**: Document fix in quick-reference, don't create skill ### Error Is External **Condition**: Error is caused by external service/API **Handling**: Create monitoring pattern, not fix skill ## Integration Points ### With Error Detector Hook - Receives fingerprinted errors - Uses threshold data from hook - Updates shared error history file ### With Skill Builder - Passes high-priority pain points - Provides context for skill creation - Links pain point to resulting skill ### With Pain Point Manager - AI pain points are a subset of all pain points - Uses similar tracking format - Shared archive workflow ## Output Examples ### Example 1: New Recurring Error **Trigger**: Error detector reports 2nd occurrence of permission error **Response**: ```markdown ## Recurring Error Detected **Fingerprint**: `BASH-PERMISSION_DENIED-scripts/deploy.sh` **Occurrences**: 2 ### Analysis This error occurs when running deployment scripts without execute permissions. Scripts are created with 644 permissions by default. ### AI Pain Point Created **ID**: AI-PAIN-0012 **Priority**: Medium **Proposed Solution**: Create pre-execution hook that checks and sets script permissions ### Recommendation This pattern may benefit from a skill. Shall I invoke skill-builder to create one? ``` ### Example 2: Escalation to Skill Builder **Trigger**: Error reaches 3rd occurrence **Response**: ```markdown ## Error Escalation - AI-PAIN-0008 **Fingerprint**: `PYTHON-IMPORT_ERROR-missing_deps` **Occurrences**: 3 (escalation threshold reached) ### Pattern Summary Python imports fail due to missing dependencies not in requirements.txt. ### Escalation Action Invoking skill-builder with: - Pain point: AI-PAIN-0008 - Priority: High - Context: Auto-escalated after 3 occurrences This will create a dependency verification skill. ``` ## Error Handling ### If Error History File Missing 1. Create fresh file with empty structure 2. Log that history was reset 3. Continue processing ### If Pain Point ID Collision 1. Find next available ID 2. Log the collision 3. Continue with new ID ### If Cannot Determine Root Cause 1. Create pain point with "Needs Investigation" status 2. Set priority to Low 3. Flag for manual review ## Skill Metadata **Version:** 1.0.0 **Created:** 2026-01-16 **Category:** Self-Improvement **Integration:** Error Detector, Skill Builder, Pain Point Manager **Maintenance:** Continuous (triggered by error detector) --- Source attribution: David-Li0406 Original project: https://github.com/David-Li0406/meta-skill-evloving/blob/ca3a335628981df10c36e00cb9850df2c247ab9a/skill-flow/data/skills-refined-36k/skillsmp/ai-error-learner/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. # Mega AI Hub resource metadata Creator / publisher: David-Li0406 Original project: https://github.com/David-Li0406/meta-skill-evloving/blob/ca3a335628981df10c36e00cb9850df2c247ab9a/skill-flow/data/skills-refined-36k/skillsmp/ai-error-learner/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Sales, Customer Support Roles: Customer Success Manager, Data Analyst, Technical Support Specialties: Specialty not specified Tools: Glob, Grep Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 10b8ef43389daaf1f09755f05dbf43d507a5c0fbb74e4bfb73c03d193dc10f46