The open source platform for AI-native application development.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + LangChain
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add TaskingAI/TaskingAI
Maintenance
stale
2y since push
Risk
Needs review
Repository appears stale
GitHub quality
5.4K
78/100 quality · 83/100 trust
Coverage tags
Review notes
Repository appears stale · Repository looks stale
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
5.4K GitHub stars
Repo activity
5.4K stars, 359 forks
Maintenance
2y since push
License
Apache-2.0
Install
npx skills add TaskingAI/TaskingAI
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add TaskingAI/TaskingAIAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20TaskingAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20TaskingAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/taskingai-taskingai/install
Agent should check
Copy prompt
Task: Use TaskingAI in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20TaskingAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/taskingai-taskingai/install
Install command: npx skills add TaskingAI/TaskingAI
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/taskingai-taskingai/install
LLM text format
/api/skills/taskingai-taskingai/install?format=text
Find alternatives
/api/skills/search?q=TaskingAI&limit=3
Agent prompt
Use TaskingAI for this task. Review https://www.openagentskill.com/api/skills/taskingai-taskingai/install, then install with: npx skills add TaskingAI/TaskingAIRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/taskingai-taskingai
LLM text
/api/registry/manifest/taskingai-taskingai?format=text
Install alias
/api/registry/install/taskingai-taskingai
Recommend
/api/registry/recommend?task=Use%20TaskingAI%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, RAG, Claude Code, OpenAI Agents, LangChain
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
RAG and knowledge
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS5.4K GitHub stars
Stars/forks activity
PASS5.4K stars, 359 forks; issue activity unavailable in current metadata
Recent maintenance
FIX2y since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
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The open source platform for AI-native application development.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & Tools
Decision snapshot
5,391 GitHub stars
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for TaskingAI, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. TaskingAI helps agents turn docs, data, or knowledge bases into grounded work. 5.4K stars https://www.openagentskill.com/skills/taskingai-taskingai?ref=x #AIAgents
Listing + install path for TaskingAI: https://www.openagentskill.com/skills/taskingai-taskingai?ref=x Install: npx skills add TaskingAI/TaskingAI
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to TaskingAI but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/taskingai-taskingai)
[](https://www.openagentskill.com/skills/taskingai-taskingai)
[](https://www.openagentskill.com/skills/taskingai-taskingai/audit)
[](https://www.openagentskill.com/skills/taskingai-taskingai)TaskingAI✓
@taskingai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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