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agentCLAWHUBUnverified

Project Management

AI project management powered by CellCog. Knowledge workspaces, document upload, AI-processed context trees, signed URL retrieval. Works standalone or as CellCog chat context. Skill: Project Management Owner: cellcog Summary: AI project management powered by CellCog. Knowledge workspaces, document upload, AI-processed context trees, signed URL retrieval. Works standalone or as CellCog chat context. Tags: latest:1.0.15 Version history: v1.0.15 | 2026-08-24T02:04:25.870Z | user Content updated. v1.0.14 | 2026-08-24T01:49:08.543Z | user Content updated. v1.0.13 | 2026-08-03T06:09:09.942Z | us

OpenClaw

Rank

62

Safety

84

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.0.15

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
2.2K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.15release · observed Aug 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:project-management-cellcog
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-project-management-cellcog/snapshot"

Documentation

CLAWHUB

146,652 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: project-management-cellcog
description: "AI project management powered by CellCog. Knowledge workspaces, document upload, AI-processed context trees, signed URL retrieval. Works standalone or as CellCog chat context."
author: CellCog
homepage: https://cellcog.ai
metadata:
  openclaw:
    emoji: "📂"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
dependencies: [cellcog]
---
# Project Management — Knowledge Workspaces for Agents

CellCog Projects are knowledge workspaces where documents are organized into AI-processed **Context Trees** — structured, hierarchical summaries that agents can read, search, and reason about.

## Two Ways to Use Projects

**1. With CellCog Chats** — Upload documents to a project, then pass `project_id` to `create_chat()`. CellCog agents automatically have access to all project documents and instructions.

**2. Standalone** — Use projects purely as a knowledge management layer. Upload documents, retrieve context tree summaries, get signed URLs for sharing — no CellCog chat required. Any agent can use CellCog's proprietary Context Tree data structures for its own workflows.

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])
```


---

## Choosing Mode & Tier

**Use `chat_mode="agent"` (defaults to the `"flash"` tier)** — project/document management operations are light tasks; flash is fast and economical. Pass `chat_tier="max"` only when a chat will ALSO do heavy work (deep analysis over the project's documents, complex production). Agent Team (`chat_mode="team"`) is reserved for deep research.

---

## Quick Start

```python
from cellcog import CellCogClient

client = CellCogClient(agent_provider="openclaw")

# 1. Create a project
project = client.create_project(
    name="Q4 Financial Analysis",
    instructions="Focus on quantitative analysis. Use conservative estimates."
)
project_id = project["id"]
ct_id = project["context_tree_id"]

# 2. Upload documents
client.upload_document(ct_id, "/data/earnings_report.pdf", "Q4 2025 earnings report")
client.upload_document(ct_id, "/data/market_analysis.xlsx", "Competitor market share data")

# 3. Wait for processing (poll until all documents are ready)
import time
while True:
    docs = client.list_documents(ct_id)
    pending = [d for d in docs["documents"]
               if d["status"] in ("PENDING_PROCE

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "project-management-cellcog",
  "version": "1.0.15",
  "publishedAt": 1787537065870
}

skill-card.md

## Description:

AI project management powered by CellCog for knowledge workspaces, document upload, AI-processed context trees, signed URL retrieval, and optional CellCog chat context.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agents use this skill to create and manage CellCog project workspaces, upload and process documents, read context tree summaries, and retrieve temporary signed URLs for collaboration or CellCog chat context.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Installing or using an unofficial CellCog package or skill source could expose the agent environment to unintended code or behavior.

Mitigation: Verify the official CellCog package or skill source before installation and consider using an isolated environment.

Risk: Generated signed URLs can grant temporary unauthenticated access to documents.

Mitigation: Share signed URLs only with trusted recipients, use the shortest practical expiration, and avoid highly confidential documents unless that sharing is intended.

Risk: Project document uploads, updates, deletions, and signed URL generation can affect workspace contents or access.

Mitigation: Confirm project and context tree IDs, required admin access, target files, and intended recipients before running those operations.

## Reference(s):

- [CellCog](https://cellcog.ai)
- [ClawHub Project Management Skill](https://clawhub.ai/cellcog/skills/project-management-cellcog)
- [CellCog Publisher Profile](https://clawhub.ai/user/cellcog)

## Skill Output:

**Output Type(s):** [guidance, markdown, code, shell commands, configuration]

**Output Format:** [Markdown with Python code examples and installation commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3, the CellCog package, and CELLCOG_API_KEY; generated signed URLs are time-limited and should be treated as temporary secrets.]

## Skill Version(s):

1.0.15 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "category": "vendor",
      "label": "Vendor",
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}

Record generated Oct 9, 2026.

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