Clarify customers, alternatives, and proof before writing homepage, launch, or pitch copy.
Project overview
Positioning Products diagnoses the market story before it writes public-facing language. It interviews you when facts are thin, examines customers, substitutes, proof, timing, and tradeoffs, and can check competitors' actual copy before claiming differentiation. Use it to create a homepage, launch post, name, bio, or pitch, or to critique an existing draft line by line without inventing unsupported claims.
Run SAP tabular classification and regression without model training
Project overview
SAP-RPT-1-OSS Predictor helps prepare SAP extracts and run classification or regression with SAP’s open-source tabular foundation model using in-context learning. It includes local prediction and batch-processing helpers, with an optional playground API path. A Hugging Face account is required, and a 24–80 GB GPU is recommended for the intended workloads.
Find, create, run, and improve agent skills from real execution feedback.
Project overview
Skill Master searches local, GitHub, and web sources for a skill that matches a task, and can research and create one when no suitable option exists. It executes the selected skill, reviews what actually happened against the instructions, and updates the skill only when divergences appear. Later feedback can repair the current output and refine the originating skill together.
Draft and adapt AI prompts from a library of structured templates.
Project overview
Structured Prompt Skill combines a Claude Code skill with a library of more than 395 templates for personas, system prompts, and common AI tasks. Users can choose a suitable structure, adapt it to a specific situation, and reuse the resulting prompt across different AI tools. It provides reusable starting points and prompting frameworks rather than executing an end-to-end workflow for the user.
Enforce maintainability gates around AI-assisted coding workflows.
Project overview
Slop-Mop adds an opinionated quality loop to repositories built with coding agents: run fast checks while working, a broader sweep before a pull request, and follow-up after CI or review feedback. Its gates target bogus tests, bypassed checks, coverage and typing gaps, complexity, duplication, security, and dependency risks, with temporary baselines for inherited debt.
Turn a broad strategy into a concise Facts, Problem, Idea, and Solution narrative.
Project overview
One Page Strategy guides an AI assistant through creating, reviewing, or refining a compact strategy document. Its four-part sequence moves from facts to the root problem, a single guiding idea, and an ordered solution, with confirmation gates during creation. It also checks jargon, subjective language, word limits, and weak-strategy patterns, and can be used in tools that accept custom instructions.
Collection or directoryDocument productivityClaude Code
skills↗
@deepread-tech
Integrate DeepRead OCR, PDF form filling, and PII redaction into AI workflows.
Project overview
DeepRead Skills teaches coding agents how to sign up, authenticate, call the document-processing API, extract text or schema-shaped fields from PDFs and images, fill forms, handle webhooks, and redact personal information. Additional skills cover document types such as invoices, tax forms, IDs, medical records, pay stubs, and shipping files. Actual processing depends on a DeepRead account and API key.
Repurpose one source into nine platform-specific content formats.
Project overview
content-wand can atomize an article, transcript, notes, topic, or URL into posts for nine platforms, or convert between formats such as podcasts, blogs, newsletters, email courses, and scripts. It can match a personal or client writing style and applies an AI-pattern cleanup pass before delivery. Web and URL processing also includes defenses against indirect prompt injection.
Turn connected-hardware ideas into engineering specs and presentation materials.
Project overview
Define products that combine physical hardware, firmware, apps, or cloud services without losing the boundaries between disciplines. Electrum guides a product idea through eight reviewed phases, producing system descriptions, component arrangements, gate checklists, diagrams, and presentation files. It works interactively through Claude Code, while the core templates and checklists can also be completed manually; a full guided run is designed to take roughly 60–90 minutes.
Track meals and workouts, estimate calories, and plan for fitness goals.
Project overview
Log meals from photos or text, record exercises with sets, reps, and weight, and calculate BMR, TDEE, daily intake, expenditure, and calorie targets. It can also generate weekly training and diet plans for cutting, bulking, or maintenance; records stay in local JSON, while AI features require an OpenRouter API key.
Install coding guidance distilled from s4.codes videos as a Claude skill.
Project overview
This repository turns material from s4.codes videos into an installable clean-code skill for coding agents, using Gemini descriptions and a later condensation step. It can be added through the skills CLI or by copying SKILL.md into a local Claude skills directory; the public README does not detail the individual coding rules.
Store and inject development secrets through 1Password from Claude Code.
Project overview
Use this skill to create or update credentials in 1Password, generate commit-safe .env.tpl files containing op:// references, and inject resolved values only when a command runs. It also documents rotation and integrations for common development tools. The 1Password CLI v2 must be installed and signed in, and the recommended op run pattern avoids unsafe source or eval-based injection.
Turn one objective into cold-start steps that different coding agents can execute independently.
Project overview
Blueprint converts a large coding objective into a Markdown plan whose steps can be executed by fresh agents in separate sessions. Every step carries its own context, tasks, branch or worktree guidance, validation commands, and rollback instructions. The plan also records dependencies, parallel opportunities, progress changes, and an adversarial review, making multi-session refactors or migrations easier to resume without relying on conversation history.
Keep AI coding teams aligned across sessions with shared project files
Project overview
Fireteam uses a .fireteam directory and Markdown files to preserve mission context, task state, checkpoints, handoffs, and daily notes between AI coding sessions. It can resume after context limits or crashes and supports two to six agents coordinating through shared files, without a server or database. A Claude skill is provided for setup, while the file-based protocol can also be used by other coding agents that read project files.
Plan and execute multi-step tasks from natural-language requests in Claude Code.
Project overview
Praxis turns requests such as data analysis, web scraping, page building, or media production into a tool-driven workflow in Claude Code. It analyzes the intent, selects tools, installs missing dependencies, and can use available credentials, create the appropriate output, or email the result after one confirmation. It requires Claude Code 2.1+, Python 3.8+, Git, and curl.
Build, test, validate, and deploy Cortex XSOAR content packs with Claude Code.
Project overview
The skill guides Claude Code from environment discovery and repository setup through scaffolding integrations, scripts, playbooks, tests, documentation, linting, `demisto-sdk` validation, packaging, and upload. It follows Palo Alto content conventions and documents workarounds for several SDK quirks. The workflow requires Python 3.8–3.10 and `demisto-sdk`; Docker is used for pre-commit hooks, while deployment requires an XSOAR 6.x instance.
MCP serverMarketing, growth and salesModel Context Protocol
admapix↗
@fly0pants·Python
Search competitor ad creatives through MCP with country, date, and format filters.
Project overview
Connect an MCP-compatible agent to the AdMapix API to search creatives by keyword, app, advertiser, category, or ad copy, then filter by format, country, region, and date. Results are raw JSON records with media URLs and metrics that can be sorted by relevance, first seen, estimated impressions, or active days. Presentation and strategy analysis are outside the project, and an AdMapix API key is required.
Turn Indian brokerage holdings into stock-by-stock views and portfolio risk notes.
Project overview
Indian Stock Analyst accepts portfolio exports from Zerodha, Groww, and other brokers, then uses live web research to summarize company news, regulatory signals, and retail sentiment. It produces Buy, Hold, or Avoid views for NSE and BSE holdings and flags sector concentration or structural risks. The workflow is intended for informational and educational use and is not a substitute for advice from a SEBI-registered professional.