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Found 6,618 Skills
The session loop that makes agentmemory pay off, recall before starting work, save at decision points, learn from corrections. Use when starting a nontrivial task, after settling a decision or debugging a gotcha, or whenever deciding if something belongs in memory.
Skill Installation Manager — Automatically reads skill list files, compares them with currently globally installed skills, identifies uninstalled or updatable skills, and performs one-click installation/update. Supports three-level fallback: HTTPS → SSH → direct fetch via MCP/GitHub API. Install using the `npx skills` command as a Global installation, specifying the three Agents: Reasonix / Claude Code / OpenCode. Be sure to use this skill whenever users mention any requirements related to skill installation and management, such as "check skills", "sync skills", "install skills", "skill management", "skill update", "skill sync", "batch installation", "missing skills", etc.
This skill is used when users want to review an existing code segment with an Agent — examining code rationality and identifying refactoring opportunities. It is language-neutral and focuses on design-level judgments (rather than correctness/mechanical checks). By default, it provides conversational conclusions and does not modify files proactively; hierarchical reports can be generated for archiving or large-scale code inspections, and findings can be reviewed item by item if there are multiple ones. Trigger: Users say "review / refactor / check if this code is reasonable / review with me / is there any problem with this design"; after writing a batch of code continuously, users or Agents can actively ask if inspection is needed. Not applicable: Executing single-point modifications with clear instructions from users (e.g., "change data1 to user_data"), adding new features, fixing bugs, performance tuning (profile/benchmark special projects), security audits, deterministic mechanical checks like lint, rewriting, or step-by-step inquiries (explaining code).
Read, search, summarize, and triage AgentMail inboxes through the connected MCP server. Use for ANY request to look at, search, or process mail — even a simple 'search my inbox for X' or 'any new mail?'; the read workflow applies regardless of task size. Also use to summarize conversations, inspect attachments, manage read/unread labels, or find messages needing a reply; do not use for sending or drafting (agentmail-send-email), inbox administration (agentmail-manage-inboxes), or MCP connection setup (agentmail-mcp).
When a solution seems impossible and the path forward is blocked — the antidote to any roadblock or wall. Refuses to take no for an answer: classifies what kind of "no" you actually hit, then runs targeted lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more from a 10-technique inventory) until the wall cracks or is proven load-bearing. Generates a minimum of 10 angles before evaluating any. AGENTS: use this on yourself mid-task — when an API doesn't support what you need, an approach has failed twice, or a "that's not possible" / "the only option is" sentence is forming in your response, run the fast path BEFORE reporting a dead end; every dead-end report should arrive with tried-angles receipts. Archives every wall to ~/.config/makerskills/unstuck/archive/ so you learn which techniques crack YOUR walls. Sits upstream of decide: turns "impossible" into 2–3 viable angles, then decide picks one. Triggers on "/unstuck," "I'm stuck," "this seems impossible," "we hit a wall," "there's no way to," "they said no," "dead end," "out of options," "I've tried everything," "work around this," "think outside the box."
Generate enriched lead lists using Exa Agent. Finds companies matching an ICP, enriches with signals/news/scores, and outputs CSV. Use when generating leads, building prospect lists, finding companies to sell to, doing outbound research, or ICP-based company discovery. Triggers on "leads", "lead gen", "prospect list", "find companies", "ICP", "outbound list".
Use this skill when an agent needs to write reusable code, store it under the configured Hermes Code folder, run it directly through local code execution, or host it behind a Make-managed E2B Code Shell scenario. Use for tool-building, generated business automation scripts, and nested flows where hosted code calls Make API shell scenarios for SaaS access without receiving raw OAuth, Make, or E2B secrets.
Stand up (or extend) an operator-only in-app scratchpad / internal test-bed — a single gated internal page that reuses the project's real components and library functions so you can judge work-in-progress by eye: eyeball generated visuals (OG/social cards, emails, avatars, empty states), compare variants side by side or with live sliders, check config/env readiness, and exercise real side-effecting flows with fake data — without shipping any of it to users or clicking through the whole product. Boards and config panels get a "Copy as JSON" button so a tuned-by-eye result round-trips straight back into the code or to an agent to apply. Bootstraps into the user's existing stack: detects the framework, auth, and env conventions, writes a fail-closed access gate first, then a route with a section switcher seeded from their own code. Use when a user says "spin up a scratchpad", "internal test bed / dev playground / sandbox page", "an operator/admin preview page", "a page to eyeball my work", "preview my OG cards / emails / component variants", "add a test page for these components", or "an internal page to exercise a flow with fake data". NOT for public/user-facing features, NOT a replacement for tests (pass/fail machine-checkable → write a test), NOT Storybook (this lives inside the real app), and NOT a place to do load-bearing production operations.
Use when explicitly invoked, when reducing agent-workflow cost, or when a concrete deliverable requires no narration, final only, code only, findings only, or minimal output.
Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.
When you want to create, adapt, or update a Claude Code skill in one of your sibling repos (list your own repos in ~/.config/makerskills/skillify/repos.yaml; defaults to makerskills). Routes to the right mode automatically. Modes — CREATE (from-chat / from-video / from-dump / from-scratch) turns a workflow, brief, recording, or fresh idea into a new skill. ADAPT ports an external skill (GitHub URL, agentskills.io, local disk) into your namespace with three-bucket classification (keep/adapt/add) + license check + attribution. UPDATE improves existing skills from learnings with cross-skill propagation, memory-vs-skill triage, and semver discipline. Defers to Anthropic's guidance (compound-engineering:create-agent-skill, compound-engineering:skill-creator, compound-engineering:heal-skill) for schema and best-practice depth. Triggers on "/skillify," "create a skill," "make this a skill," "skill from this chat," "extract a skill from what we've been doing," "adapt this skill," "port this skill," "fork this skill," "borrow this skill," "update X skill," "apply this to the relevant skills," "propagate this learning," "improve [skill]," "fix [skill]," "iterate on [skill]." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code.
Use when assessing whether a repo is ready for autonomous AI agents (pylot workers) — produces a scored, actionable Agent Readiness Report as a GitHub issue in the assessed repo.