continuous-learning-v2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, or promoting them into skills, commands, or agents.

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/continuous-learning-v2/SKILL.md

Quality

Content

63%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 actionable and reasonably well-sequenced with concrete commands and a dry-run checkpoint, but it is verbose and monolithic, inlining reference-grade detail that would be better split into separate files.

Suggestions

Collapse the two historical version-comparison tables into a single short changelog or move them to a references/ file to reduce token overhead.

Split the Scope Decision Guide, Confidence Scoring, and File Structure sections into reference files (e.g. references/scope.md, references/confidence.md) and link to them from SKILL.md.

Remove the duplicate command listing — keep either the Quick Start command block or the Commands table, not both.

Dimension	Reasoning	Score
Conciseness	The ~378-line body is mostly operational but padded with redundant historical comparison tables (v2.1 vs v2.0, v2 vs v1), a conceptual 'Why Hooks vs Skills' section, and commands listed twice (Quick Start list then Commands table).	3 / 5
Actionability	Provides mostly executable guidance — hooks JSON, mkdir commands, an instinct YAML example, slash-command listings, and promote CLI calls with flags — with only minor gaps such as the observer internals shown as an ASCII diagram.	4 / 5
Workflow Clarity	Quick Start is sequenced (enable hooks, init dirs, use commands), project detection is given as a numbered priority list, and the main destructive op offers a `--dry-run` validation checkpoint, leaving only minor validation gaps.	4 / 5
Progressive Disclosure	The SKILL.md is a monolithic overview that inlines bulk reference material (config tables, scope decision guide, confidence scoring, file structure) rather than splitting it into references/ files; only a scripts/ bundle exists.	3 / 5
	Total	14 / 20 Passed

Description

92%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 specific, complete, and distinct, with concrete actions and an explicit 'Use when' trigger clause in third-person voice. It only falls slightly short on trigger-term synonym coverage.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('observes sessions via hooks', 'creates atomic instincts with confidence scoring', 'evolves them into skills/commands/agents', 'adds project-scoped instincts'), giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' (observe/create/evolve instincts) and 'when' ('Use when capturing lessons... managing instincts... or promoting them'), with concrete trigger phrases for each.	5 / 5
Trigger Term Quality	Natural trigger phrases are present ('capturing lessons from a session', 'managing instincts', 'promoting them into skills, commands, or agents'), but synonyms and common variations are missing, so it stops short of comprehensive coverage.	4 / 5
Distinctiveness Conflict Risk	The instinct-based-learning niche with hooks, confidence scoring, and project-scoping is clearly distinct and unlikely to trigger for unrelated skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: affaan-m/ECC
Path: skills/continuous-learning-v2/SKILL.md
Commit: d8409a4

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.