# Method Discovery

> Identify all relevant methods via literature, leaderboards, citation chains

- Skill: `yogsoth-ai/method-discovery` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/method-discovery`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/method-discovery/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/method-discovery

---


# Method Discovery


## Purpose

Discover the complete set of methods that have been proposed and evaluated for a given task. Uses a multi-pronged search strategy combining leaderboard scraping, academic search, citation chain traversal, and survey paper mining.

## Input Schema

| Field | Type | Description |
|-------|------|-------------|
| task_name | string | The target task (e.g., "text summarization", "node classification") |
| domain | string | Research domain (e.g., "NLP", "graph learning", "computer vision") |
| known_methods | string[] | Already-known methods to seed citation chain traversal |

## Output Schema

```json
{
  "methods": [
    {
      "name": "string",
      "aliases": ["string"],
      "year": 2024,
      "authors": "string",
      "venue": "string",
      "family": "string",
      "key_innovation": "string",
      "paper_id": "string",
      "source": "leaderboard|paper|citation_chain|preprint|survey"
    }
  ],
  "search_log": {
    "leaderboards_checked": ["string"],
    "queries_issued": ["string"],
    "citation_chains_from": ["string"],
    "surveys_consulted": ["string"]
  }
}
```