cognee-custom-pipelines SKILL.md skillA
cognee-custom-pipelines from topoteretes/cognee is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add topoteretes/cognee/cognee-custom-pipelines@git:20261015.e77d382Pins git:20261015.e77d382 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- topoteretes/cognee
- Path
.agents/skills/cognee-custom-pipelines/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261015.e77d382, committed Oct 15, 2026
- First version recorded
- Sep 29, 2026
- Size
- 10,225 bytes
- Repository stars
- 33,092
- License
- Apache-2.0
Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines import run_pipeline), storing custom DataPoints with add_data_points, running custom enrichment over the existing graph, checking pipeline run status, or debugging how data flows between tasks (batch_size, data_per_batch, ctx, Drop, enriches).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Custom tasks and pipelines
Everything cognee does runs as a **pipeline**: an ordered list of **tasks**,
each a plain Python function whose output feeds the next one. `remember()`
is the right tool for ordinary ingestion. Build a pipeline when you need
processing cognee does not ship: your own extraction, your own node types,
or a post-processing step over the graph.
```python
import cognee
from cognee.modules.pipelines import Task
from cognee.tasks.storage import add_data_points
from cognee.low_level import DataPoint
class Person(DataPoint):
name: str
metadata: dict = {"index_fields": ["name"], "identity_fields": ["name"]}
async def extract_people(data_items: list) -> list[Person]:
people = []
for item in data_items: # always a list, see below
text = item if isinstance(item, str) else ""
people += [Person(name=n.strip()) for n in text.split(",") if n.strip()]
return people
result = await cognee.run_custom_pipeline(
tasks=[
Task(extract_people, needs_llm=False),
Task(add_data_points, needs_llm=False), # store in graph + vector DBs
],
data=["Ada Lovelace, Alan Turing"],
dataset="people",
)
```
## Use it
…Read the whole file at its exact version.
How to install
mdr add topoteretes/cognee/cognee-custom-pipelines@sha256:be29f6a160f690afThe line at the top of this page pins the label git:20261015.e77d382, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5ewai7jewqtwtkjz)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 29, 2026 and Oct 15, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261015.e77d382 latest | 2026-10-15 | e77d382 | 10,225 B | A | view · diff |
| git:20261015.8971ebe | 2026-10-15 | 8971ebe | 10,251 B | A | view · diff |
| git:20260929.6e7b2ca | 2026-09-29 | 6e7b2ca | 11,282 B | A | view · diff |
| git:20260929.d802d12 | 2026-09-29 | d802d12 | 11,351 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10225 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
topoteretes/cognee · 33,092 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5ewai7jewqtwtkjz GET https://markdownregistry.com/api/v1/resolve?ref=topoteretes/cognee/cognee-custom-pipelines GET https://markdownregistry.com/api/v1/blob/be29f6a160f690af9d163ae574c21d699adf27061282b5aab81f598399c9e550
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.