view --main pipeline-skill-dlya-kompleksnoy-obrabotki-dannyh.md
Pipeline: Скилл для комплексной обработки данных
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Комплексная обработка данных, объединяющая все этапы последовательности 6R: сбор, агрегация, анализ, переработка, проверка. Может работать как с отдельными элементами, так и в пакетном режиме. Три уровня глубины позволяют регулировать баланс между тщательностью и скоростью. Центральный компонент, управляющий всеми процессами обработки. Активируется событиями: "pipeline", "process", "full pipeline", "6R".
SKILL.md
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--- lines
---
name: pipeline
description: >
End-to-end processing pipeline that chains the full 6R sequence: seed, reduce,
reflect, reweave, verify. Runs per-item or in batch mode. Three depth levels
control thoroughness vs. speed. The orchestrator for all processing skills.
Triggers on: "pipeline", "process", "full pipeline", "6R"
---
# /pipeline
> End-to-end processing — seed through verify in one command.
## Purpose
Chain the full processing sequence in a single invocation: seed (initialize) → reduce (extract) → reflect (connect) → reweave (update old content) → verify (quality gate). Handles orchestration, error recovery, and progress tracking. Use this when you want the full treatment rather than running individual steps.
## Usage
```bash
# Process a single file through the full pipeline
/pipeline path/to/article.md
# Process with explicit depth
/pipeline path/to/transcript.md --depth deep
# Process multiple files in batch
/pipeline path/to/inbox/*.md --batch
# Quick single-pass processing (no subagents)
/pipeline path/to/notes.md --depth quick
# Process from URL
/pipeline --url "https://example.com/article" --depth standard
# Resume a failed pipeline run
/pipeline --resume run-2026-03-20-143000
# Skip specific stages
/pipeline path/to/file.md --skip reweave,verify
```
## Arguments
| Flag | Type | Default | Description |
|------|------|---------|-------------|
| `<input>` | positional | required | File path, glob, or `--url` for web content |
| `--url` | string | — | URL to fetch and process |
| `--depth` | enum | `standard` | Processing thoroughness (see Depth Levels below) |
| `--batch` | flag | false | Process multiple inputs as separate pipeline runs |
| `--skip` | string[] | — | Comma-separated stages to skip: `seed`, `reduce`, `reflect`, `reweave`, `verify` |
| `--stop-after` | string | — | Stop after this stage (e.g., `reduce` to just extract) |
| `--resume` | string | — | Resume a previous pipeline run by ID |
| `--parallel` | int | 1 | Number of parallel items in batch mode |
| `--output-dir` | path | `./processed/` | Directory for pipeline output |
| `--dry-run` | flag | false | Show what would happen without executing |
## Depth Levels
| Depth | Seed | Reduce | Reflect | Reweave | Verify | Time | Token Cost |
|-------|------|--------|---------|---------|--------|------|------------|
| `quick` | inline | key points only | skip | skip | structural only | ~30s | ~2K |
| `standard` | full metadata | claims + context | direct connections | dry-run suggestions | full checks | ~3min | ~15K |
| `deep` | full + provenance | claims + evidence + counterpoints | 2-hop traversal + synthesis | apply with approval | full + fidelity | ~10min | ~50K |
## Workflow
1. **Initialize** — Create pipeline run directory with unique ID. Log start time, input, and parameters.
2. **Seed** (`/seed`) — Ingest source material. Create inbox item with provenance metadata. Output: seeded item with metadata.
3. **Reduce** (`/reduce`) — Extract atomic claims from seeded content. Output: structured claims file.
4. **Reflect** (`/reflect`) — Find connections between new claims and existing knowledge. Output: connection map.
5. **Reweave** (`/reweave`) — Backward pass over existing content. Flag items that need updating. At `deep` depth, apply with human approval. Output: update report.
6. **Verify** (`/verify`) — Quality gate on all new and modified content. Output: verification report.
7. **Report** — Emit pipeline summary: items processed, claims extracted, connections found, updates suggested, quality score.
8. **Cleanup** — Archive pipeline run metadata for resume capability.
## Output
```markdown
## Pipeline Report — run-2026-03-20-143000
**Input:** ai-masters/signals/2026-03-20-ed-strategy-call.md
**Depth:** standard
**Duration:** 2m 34s
**Token cost:** ~12,400 tokens
### Stage Results
| Stage | Status | Output |
|-------|--------|--------|
| Seed | done | 1 item, 2,340 words, source: voice transcript |
| Reduce | done | 14 claims extracted (9 facts, 3 decisions, 2 action items) |
| Reflect | done | 7 connections found, 2 synthesis opportunities |
| Reweave | done | 3 items flagged for update (1 critical, 2 stale) |
| Verify | done | 14/14 claims pass structural, 1 fidelity warning |
### Key Outputs
- Claims file: `processed/run-2026-03-20-143000/claims.md`
- Connection map: `processed/run-2026-03-20-143000/connections.md`
- Reweave report: `processed/run-2026-03-20-143000/reweave.md`
- Verification: `processed/run-2026-03-20-143000/verify.md`
### Action Items Extracted
1. Roberto: Send revised pricing doc to Ed by Friday
2. Ed: Confirm enterprise pilot with Acme Corp
3. Roberto: Update money-revenue/context.md with new pricing
```
## Dependencies
- `/seed` — Stage 1
- `/reduce` — Stage 2
- `/reflect` — Stage 3
- `/reweave` — Stage 4
- `/verify` — Stage 5
- File system write access for output directory
- Subagent spawning capability (for `deep` depth)
Инициализация мануала...
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$ ls -R related_skills/
2026-03-28
⭐ 27466
ai-prompt-engineering-safety-review — Анализ и улучшение безопасности AI-запросов
2026-04-09
⭐ 182
laravel-data-writer: Скилл для работы с Data классами
2026-04-09
⭐ 507
chunking-strategy-guide: Скилл для оптимизации RAG
2026-04-09
⭐ 438
skill-spreadsheet: Скилл преобразования таблиц
package.json
$ install --global
skills.sh
npx skills add https://github.com/Miosa-osa/canopy/tree/main/library/skills/processing/pipeline
$ download --local
man
[HINT] Скачивает всю директорию скилла с GitHub: SKILL.md и все связанные файлы