aiception

Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.

Quality

81%

Does it follow best practices?

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Securityby

Passed

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Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured, actionable instruction skill with a clear sequenced workflow and validation checklist. Its main weakness is conciseness — several sections overlap and restate the same trigger/quality criteria.

Suggestions

Consolidate the overlapping trigger/criteria lists ("When to Extract", "Quality Criteria", "Self-Reflection Prompts", "Automatic Triggers") into a single section to remove redundancy.

Briefly introduce the Open Brain MCP tools (search_thoughts, capture_thought) on first use so the tool calls are self-explanatory rather than assumed.

Consider moving the full worked n8n example into a separate EXAMPLES.md reference to keep SKILL.md a lean overview.

Dimension	Reasoning	Score
Conciseness	Mostly efficient but carries notable redundancy — "When to Extract", "Quality Criteria", "Self-Reflection Prompts", and "Automatic Triggers" restate the same extraction criteria in different forms, and the content could be tightened without losing meaning.	3 / 5
Actionability	Provides concrete, mostly-executable guidance — real tool calls (search_thoughts, capture_thought), file paths, a copy-ready SKILL.md template, and decision tables — with only minor gaps (the MCP tools are assumed rather than introduced).	4 / 5
Workflow Clarity	A clear 7-step sequence with a final quality-gate checklist and branching decision tables; checkpoints are present, though error-recovery feedback loops are lighter than the top anchor.	4 / 5
Progressive Disclosure	Well-organized with clear ## / ### section headers and no nested external references; as a self-contained single-file skill the structure is good, though the full worked example and template add length that could optionally be split out.	4 / 5
	Total	15 / 20 Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: third-person voice, explicit what-and-when, and rich natural trigger phrases. The only soft spot is specificity, where the named actions are slightly more abstract than the most concrete anchor examples.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions — "extracts reusable knowledge from work sessions", "Creates new skills", "Integrates with Open Brain to prevent duplicates" — but the actions are somewhat high-level/abstract rather than crisply concrete like the PDF examples, leaving minor gaps.	4 / 5
Completeness	Explicitly answers both what (continuous learning system that extracts reusable knowledge and creates new skills) and when (a numbered Triggers list with concrete phrases), satisfying the top anchor.	5 / 5
Trigger Term Quality	Comprehensive natural trigger phrases users would actually say — "/aiception command", "save this as a skill", "extract a skill from this", "what did we learn?" — plus a behavioral trigger (non-obvious debugging).	5 / 5
Distinctiveness Conflict Risk	Occupies a clear meta-skill niche (skill extraction/creation) with highly specific triggers unlikely to fire for unrelated skills; minimal conflict risk.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: NateBJones-Projects/OB1
Path: skills/claudeception/SKILL.md
Commit: e79e9cb

Reviewed: 11 days ago

Table of Contents

Discovery Implementation Validation

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