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Skills/agent-frameworks/FlashLearn

FlashLearn

REVIEW · 69
Community indexed

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

Downloads0
Stars608
Version1.0.0
Quality54/100 · Needs review
Trust69/100 · Sandbox only
Audit69/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Pravko-Solutions/FlashLearn

Maintenance

stale

1y since push

Risk

Needs review

Repository appears stale

GitHub quality

608

54/100 quality · 77/100 trust

Coverage tags

CodingCoding agentsagent-frameworksagentsai-agents

Review notes

Repository appears stale · Repository looks stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

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

Needs review
54

Inspect the repository carefully before adding it to an agent workflow.

Trust

Sandbox only
69

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
69

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonAI AgentsCodexClaude CodeCursor

Stars

608 GitHub stars

Repo activity

608 stars, 37 forks

Maintenance

1y since push

License

MIT

Install

npx skills add Pravko-Solutions/FlashLearn

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 1y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

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.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

PythonAI AgentsCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Pravko-Solutions/FlashLearn
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
69/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Pravko-Solutions/FlashLearn
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • No OpenAgentSkill engagement data yet
  • Repository appears stale

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Agent safety v2

57/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Repository appears stale

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add Pravko-Solutions/FlashLearn

Agent resolve plan

Let an agent verify fit before installing.

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.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20FlashLearn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20FlashLearn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/pravko-solutions-flashlearn/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use FlashLearn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20FlashLearn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pravko-solutions-flashlearn/install
Install command: npx skills add Pravko-Solutions/FlashLearn
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/pravko-solutions-flashlearn/install

LLM text format

/api/skills/pravko-solutions-flashlearn/install?format=text

Find alternatives

/api/skills/search?q=FlashLearn&limit=3

Agent prompt

Use FlashLearn for this task. Review https://www.openagentskill.com/api/skills/pravko-solutions-flashlearn/install, then install with: npx skills add Pravko-Solutions/FlashLearn

Registry metadata

Agent-readable profile for automatic skill selection.

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.

Open manifest

Manifest

/api/registry/manifest/pravko-solutions-flashlearn

LLM text

/api/registry/manifest/pravko-solutions-flashlearn?format=text

Install alias

/api/registry/install/pravko-solutions-flashlearn

Recommend

/api/registry/recommend?task=Use%20FlashLearn%20in%20an%20agent%20workflow&limit=3

Agent fit

56/100

Coding agents

Use-case tags

Coding agentsBrowser automationSports analytics

Platforms

Python, AI Agents, Claude Code

Audit report

Needs review · 69/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Needs validation for Coding agents

Do a manual repository review before adding this to an agent workflow.

56
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Coding agents

Trust label

Needs manual review

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 608 GitHub stars
  • install command or GitHub repo available
  • 54/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

69
Trust score

GitHub adoption

INFO

608 GitHub stars

Stars/forks activity

INFO

608 stars, 37 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

1y since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 1y since push
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

54
GitHub stars
608
Freshness
1y ago
Install ready
Yes
License
MIT
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Analyze matches

Sports analytics

I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.

Stack fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Alternative shortlist

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Overview

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/21/2026
Published
5/22/2026

Frameworks & Tools

PythonAI Agents

Decision snapshot

Needs validation

56
Ready
Review
Stage

608 GitHub stars

Audit snapshot

Install review

Install and adoption review

69
Needs review
Security
90/100
Maintenance
38/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for FlashLearn, ready for a manual X post.

Curator note
The best agent skills feel small at first, then remove a task your agent used to improvise.

FlashLearn: Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and bu...

608 stars

https://www.openagentskill.com/skills/pravko-solutions-flashlearn?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for FlashLearn:
https://www.openagentskill.com/skills/pravko-solutions-flashlearn?ref=x

Install: npx skills add Pravko-Solutions/FlashLearn
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Pravko-Solutions
Source
Pravko-Solutions/FlashLearn
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to Pravko-Solutions 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

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/pravko-solutions-flashlearn?metric=listed&label=Listed)](https://www.openagentskill.com/skills/pravko-solutions-flashlearn)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/pravko-solutions-flashlearn?metric=trust&label=Trust)](https://www.openagentskill.com/skills/pravko-solutions-flashlearn)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/pravko-solutions-flashlearn?metric=audit&label=Audit)](https://www.openagentskill.com/skills/pravko-solutions-flashlearn/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/pravko-solutions-flashlearn?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/pravko-solutions-flashlearn)
Preview badge Open audit Creator Kit

Author

P

Pravko-Solutions

@pravko-solutions

Tags

agentsai-agentsagentic-ai-developmentaiai-agents-frameworkconcurrencyetl-pipelinellmllm-agentpython

Platform Fit

Claude Code

Health Signals

GitHub stars
608
Quality score
38/100
Last GitHub push
Mar 10, 2025
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

69
  • GitHub adoption608 GitHub starsINFO
  • Stars/forks activity608 stars, 37 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance1y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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