#context-engineering
135 resources · page 1 of 3
Results
- planning-with-files
Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss…
- planning-with-files-ar
The publisher’s description is only a heading. Open the skill to read what it does.
- planning-with-files-de
Manus-artiges Dateiplanungssystem zur Organisation und Verfolgung des Fortschritts komplexer Aufgaben.
- planning-with-files-es
Sistema de planificación basado en archivos estilo Manus para organizar y rastrear el progreso de tareas complejas.
- cognee
Use this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents learning from…
- cut-release
Trigger this skill on any of these intents: - "cut a release" - "ship v0.x" / "ship the release" - "release prep" / "prepare the release"
- docs-corpus-audit
docs-corpus-audit -- whole-corpus regrounding pass
- pr-description-skill
Trigger this skill on any of the following intents: - "write a PR description" - "draft a PR body" - "open a PR" / "open this PR" / "let's…
- agent-red-teaming
Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic…
- brain-page
Operating manual for reading and writing a project's brain — every read and write goes through the bundled zero-dependency brain CLI;…
- apm-spec-guardian
APM Spec Guardian -- Four-Panel Advisory Review for OpenAPM
- docs-sync
docs-sync -- per-PR documentation impact panel
- project-butler
Project memory workflow for init/upgrade, profile-aware setup, end session, normal/full close, file organization, document archiving, language switching,…
- mk:tech-graph
Generate publish-grade SVG+PNG technical diagrams — architecture, data flow, flowchart, sequence, agent-memory, class, ER, state-machine,…
- prd-v07-test-planning
Define test cases BEFORE implementation, ensuring every API, business rule, and user journey has verifiable acceptance criteria during PRD v0.7 Build…
- agent-evaluation
Design reproducible evaluations for AI agents with representative task sets, explicit rubrics, appropriate graders, baselines, regression gates, and…
- agent-observability
Design privacy-aware observability for AI agents using traces, spans, structured events, metrics, cost attribution, dashboards, alerts, and investigation…
- eu-ai-act-readiness
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice…
- human-in-the-loop
Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows.
- mcp-server-building
Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports,…
- multi-agent-orchestration
Design and operate bounded multi-agent workflows with task decomposition, dependency graphs, ownership, handoff contracts, shared-state controls,…
- pdf-processing
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source…
- prompt-injection-defense
Threat-model and harden AI agents, RAG systems, assistants, and tool-using workflows against direct, indirect, stored, cross-agent, and multimodal prompt…
- skill-supply-chain-audit
Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution,…
- spreadsheet-analysis
Inspect, profile, clean, reconcile, analyze, visualize, and verify spreadsheet data while preserving formulas, formatting, types, and source files.
- tool-schema-design
Design and validate model-facing tool definitions with clear names, action-oriented descriptions, bounded JSON Schema parameters, explicit side effects,…
- graft
This repo is indexed by graft/.
- cli-logging-ux
[CLI Logging UX expert persona](../../../.apm/agents/cli-logging-expert.agent.md)
- docs-impact-architect
Single responsibility: when the classifier says a PR needs structural docs changes (new page, page move, TOC reshape), design the change and emit:
- docs-impact-classifier
Single responsibility: given a PR diff and the .apm/docs-index.yml corpus map, emit ONE classification verdict.
- docs-impact-localizer
The docs-sync orchestrator invokes you ONLY when the classifier returned verdict: in_place.
- skill-evaluator
Evaluates agent skills against Anthropic's best practices.
- backend-architect
Monitor Claude Code sessions, costs, config, hooks, agents & MCP servers from a single Rust binary — TUI (9 tabs) + Web interface with live…
- rust-expert
Expert Rust idiomatique pour développement CLI/système.
- mk:confluence
Routing skill — recommends the correct mk:confluence-* leaf for any Confluence Cloud task.
- mk:cook
Orchestrates single-task implementation pipeline: plan → test → build → review.
- mk:docs-finder
Retrieve up-to-date library, framework, and project documentation using scripts + MCP tools (Context7, Context Hub) with intelligent fallback.
- mk:multimodal
Process images, video, audio, PDFs with Gemini API.
- mk:prompt-enhancer
Refine a draft user prompt using a 5-step framework — mode-select, decompose, detect, (scout if --deep), map, rewrite — grounded in 7 source docs <!-- research-citation --> (Anthropic / OpenAI Codex / FactoryAI prompting + Anthropic conte
- mk:sequential-thinking
Structured step-by-step reasoning with hypothesis generation, elimination, and revision capability.
- mk:web-to-markdown
Fetch a URL and return clean markdown.
- docs-grounding-verifier
The publisher’s description is only a heading. Open the skill to read what it does.
- sdd
Execute the Liatrio Spec-Driven Development (SDD) workflow when explicitly invoked by the user.
- brain-setup
Bootstrap the Open Project Brain Standard into the current project — prefer brain init (ensure BRAIN.md, scaffold empty brain…
- emulo
Mine only real user-authored .jsonl sessions.
- mk:qa-manual
Spec-driven manual QA testing and Playwright E2E code generation.
- prd-vXX-skill-name
[1-2 sentence description of what this skill does].
- mk:agent-browser
Browser automation CLI for AI agents using agent-browser.
- documentation-criteria
Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored.
- frontend-typescript-testing
Designs frontend tests using the repository's configured React test and browser harnesses, including RTL, MSW, Vitest, and Playwright when present.
- integration-e2e-testing
Selects and designs the smallest integration/E2E test set that proves accepted behavior at an observable boundary.
- requirement-convergence
Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure.
- skill-optimization
Evaluates and optimizes skill file quality using 9 content patterns and 10 editing principles.
- subagents-orchestration-guide
Coordinates subagents through scale-based planning, approval, implementation, verification, and escalation flows.
- ghm-gate-check
Validates gate criteria before PRD lifecycle advancement by delegating to the readiness scoring pipeline (scripts/readiness.py).
- ghm-sot-builder
Creates new Source of Truth (SoT) files when existing templates don't fit your needs.
- ghm-status-sync
Synchronizes README.md Command Center with current project state.
- prd-v01-problem-framing
Transform vague product ideas into evidence-anchored problem statements for PRD v0.1 Spark.
- prd-v01-user-value-articulation
Transform validated pain points into articulated user value statements for PRD v0.1 Spark.
- prd-v02-competitive-landscape-mapping
Map the competitive landscape before positioning your product for PRD v0.2 Market Definition.
