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Strategy R&DFree Safe

skill-idea-miner

Security Scan Summary

Status: Safe

Source: Syntic Skills registry

Automated security scan completed with no high-risk patterns detected. Manual review is still required.

About This Skill

Use when running the weekly skill-generation pipeline to mine session logs and score, dedupe, and backlog new skill idea candidates.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md

---
name: skill-idea-miner
description: Use when running the weekly skill-generation pipeline to mine session logs and score, dedupe, and backlog new skill idea candidates.
category: Strategy R&D
version: 1.0.0
tools: []
---

# Skill Idea Miner

Automatically extract skill idea candidates from coding-session logs, score them for novelty, feasibility, and trading value, and maintain a prioritized backlog for downstream skill generation.

## When to Use

- Weekly automated pipeline run.
- Manual backlog refresh.
- Dry-run to preview candidates without LLM scoring.

## Methodology

### Stage 1 — Session log mining
1. Enumerate session logs from allow-listed projects over the past 7 days (by file modification time, confirmed against a timestamp field in the log).
2. Extract external user messages and assistant tool-usage patterns from each session.
3. Run deterministic signal detection over that history:
- Skill-usage frequency (references to existing skill paths).
- Error patterns (non-zero exit codes, error flags, exception keywords).
- Repetitive tool sequences (3 or more tools repeated 3 or more times).
- Automation-request keywords, checked across languages.
- Unresolved requests (a 5+ minute gap after a user message with no resolution).
4. Feed the detected signals to an LLM pass for idea abstraction — turning raw session evidence into a candidate title, description, and category.
5. Output the raw candidate list with its evidence trail.

### Stage 2 — Scoring and deduplication
1. Load the existing skill library's names and descriptions from their frontmatter.
2. Deduplicate new candidates against both existing skills and the current backlog using Jaccard similarity, with a threshold above 0.5 counting as a duplicate.
3. Score each non-duplicate candidate on three axes, each 0-100: Novelty (differentiation from existing skills), Feasibility (technical implementability), and Trading Value (practical value for investors/traders).
4. Compute a composite score as 0.3 x Novelty + 0.3 x Feasibility + 0.4 x Trading Value — trading value weighted highest since that's the practical bar for inclusion.
5. Merge scored, non-duplicate candidates into the prioritized backlog, each carrying its evidence, category, and score breakdown, with status `pending` until picked up by skill-designer.

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/tradermonty/claude-trading-skills/blob/main/skills/skill-idea-miner/SKILL.md

Open Source Link

Strategy R&D

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