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Skill Writer

OrganizationPopular
getsentry
skill-writer

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to "create a skill", "write a skill", "synthesize sources into a skill", "improve a skill from positive/negative examples", "update a skill", or "maintain skill docs and registration". Handles source capture, precision passes, authoring, registration, and validation.

Overview

Publishergetsentry
Repositoryskills
Skill nameskill-writer
Stars
1K
Forks
53
Bundled files
45
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 45 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by getsentry on GitHub. Read the source before you install it.

Installation

Install the Skill Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/getsentry/skills/tree/main/skills/skill-writer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/getsentry/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/skill-writer .claude/skills/skill-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Writer

Use this as the single canonical workflow for skill creation and improvement. Primary success condition: maximize high-value input coverage before authoring while minimizing wasted runtime tokens.

Follow the workflow steps in order. Load only the reference files required for the step you are on. SKILL.md is the primary router: every bundled reference file should be flat under references/ and listed here with a direct "open when..." reason.

Core Workflow References

Open when you need to...Read
choose the minimum workflow path for create, update, iterate, or research-first workreferences/mode-selection.md
choose the simplest adequate execution shape before deciding filesreferences/execution-shapes.md
apply writing constraints for depth, concision, and portabilityreferences/design-principles.md
decide what belongs in SKILL.md, references/, SPEC.md, or supporting filesreferences/reference-architecture.md
create or update the maintenance contract for a skillreferences/spec-template.md
find missing high-signal sources, including history and regressionsreferences/source-discovery.md
adapt an upstream prompt, workflow, rubric, benchmark, or docs into a skillreferences/source-adaptation.md
run the full synthesis pass with coverage checks and source capturereferences/synthesis-path.md
author or update SKILL.md, SPEC.md, and supporting filesreferences/authoring-path.md
improve trigger language and false-positive/false-negative behaviorreferences/description-optimization.md
iterate from positive, negative, or fix examplesreferences/iteration-path.md
store persistent working and holdout examples for future revisionsreferences/iteration-evidence.md
choose a response template, schema, or output contractreferences/output-contracts.md
add or update evals for a skill's generated outputs or runtime behaviorreferences/skill-evals.md
troubleshoot overloaded layouts, hidden refs, or other structure failuresreferences/structure-troubleshooting.md
register the skill and run final validation checksreferences/registration-validation.md

Artifact Layout References

Open when you need to...Read
keep the whole skill inline in one coherent SKILL.mdreferences/layout-inline-skill.md
split optional deep knowledge into focused routed referencesreferences/layout-reference-backed-skill.md
add scripts for deterministic automation or validationreferences/layout-script-backed-workflow.md
define a skill that is usually invoked with explicit argumentsreferences/layout-argument-driven-skill.md
ship reusable templates, schemas, or other static assetsreferences/layout-asset-template-skill.md

Workflow Mechanic References

Open when you need to...Read
break a task into fixed ordered stepsreferences/workflow-prompt-chaining.md
classify requests and route them to different downstream pathsreferences/workflow-routing.md
split independent work into parallel units or votesreferences/workflow-parallel.md
discover work units dynamically and coordinate worker outputsreferences/workflow-orchestrator-workers.md
run validate-fix-repeat checks during authoring or executionreferences/workflow-validation-loops.md
validate a plan before executing a risky actionreferences/workflow-plan-validate-execute.md

Claude Code References

Open when you need to...Read
use Claude-specific frontmatter or invocation controlsreferences/claude-frontmatter-invocation.md
use Claude argument fields or substitution variablesreferences/claude-argument-substitutions.md
build a skill that runs in isolated context: forkreferences/claude-subagent-fork.md
build a skill that uses Claude hooks for deterministic enforcementreferences/claude-hook-backed.md
use Claude shell preprocessing for dynamic context injectionreferences/claude-dynamic-context.md

Example Profiles

Open when you need to...Read
see the expected depth for a documentation-heavy skillreferences/example-documentation-skill.md
see the expected depth for a workflow-process skillreferences/example-workflow-process-skill.md
see what a good routed skill looks likereferences/example-router-skill.md
see what a good subagent-fork skill looks likereferences/example-subagent-fork-skill.md
see what a good hook-backed skill looks likereferences/example-hook-backed-skill.md

Step 1: Resolve target, path, and shape

  1. Resolve the intended operation (create, update, synthesize, iterate) and inspect workspace prior art before choosing where files belong.
  2. Choose the target skill root from observed conventions. If the canonical location is still unclear after inspection, ask one direct question before editing files.
  3. Read references/mode-selection.md to choose the minimum required workflow paths.
  4. Read references/execution-shapes.md to choose the primary execution shape.
  5. Default to the simplest adequate shape. If selecting a more complex shape, record why simpler shapes were rejected.
  6. Load only the exact artifact-layout, workflow-mechanic, and provider-specific leaf files required by that shape.
  7. Before adding guidance, identify what existing rule, section, or file should be narrowed, replaced, or removed.
  8. Record portability implications before using provider-specific mechanics.

Step 2: Run synthesis when needed

Read references/synthesis-path.md.

  1. Use this path for new skills, material changes, and research-first planning.
  2. Collect and score relevant sources with provenance.
  3. Read references/source-discovery.md when source material is thin, stale, or ambiguous.
  4. Read references/source-adaptation.md when adapting an upstream prompt, workflow, rubric, benchmark, or docs.
  5. Produce source-backed decisions and coverage/gap status, including the class and execution-shape choice.
  6. Load example profiles only when they add concrete depth for the selected class or shape.
  7. If the skill uses provider-specific mechanics, include current official provider docs and capture usage constraints.
  8. Do not move to authoring until required coverage is understood or gaps are explicit.

Step 3: Run iteration first when improving from outcomes/examples

Read references/iteration-path.md first when selected path includes iteration (for example operation iterate).

  1. Capture and anonymize examples with provenance.
  2. Read references/iteration-evidence.md when examples should persist beyond the current turn.
  3. Review skill behavior against working and holdout slices.
  4. Propose improvements from positive/negative/fix evidence.
  5. Carry concrete behavior deltas into authoring.

Skip this step when selected path does not include iteration.

Step 4: Author or update skill artifacts

Read references/authoring-path.md.

  1. Write or update SKILL.md in imperative voice with trigger-rich description.
  2. Keep SKILL.md as the runtime router, not an encyclopedia.
  3. Run the pre-edit precision check in references/authoring-path.md before creating new sections or files.
  4. Read references/reference-architecture.md before adding bulk instructions or new reference files.
  5. Create or update SPEC.md using references/spec-template.md when creating a new skill or materially changing its contract.
  6. Create focused reference files, scripts, and assets only when each one has a clear "open when..." reason and cannot be handled by tightening an existing file.
  7. If you add a bundled reference file, add a direct routing entry for it in this SKILL.md.
  8. Prefer checklists, tables, templates, and input/output examples over explanatory prose.
  9. Follow only the specific artifact-layout, workflow-mechanic, Claude-specific, and output-contract references selected for this skill.
  10. For advanced execution shapes, add the required routing, delegation, or safety contracts before considering the skill complete.
  11. For authoring/generator skills, include transformed examples in references:
  • happy-path
  • secure/robust variant
  • anti-pattern + corrected version
  1. Read references/skill-evals.md when the request asks for evals, regression cases, benchmark cases, or model-graded quality checks for the skill being authored.
  2. After any skill artifact changes, run the post-change precision pass in references/authoring-path.md before description optimization or validation.

Step 5: Optimize description quality

Read references/description-optimization.md.

  1. Validate should-trigger and should-not-trigger query sets.
  2. Reduce false positives and false negatives with targeted description edits.
  3. Keep trigger language generic across providers unless the skill is intentionally provider-specific.

Step 6: Register and validate

Read references/registration-validation.md.

  1. Apply repository registration steps for the active layout you verified in the workspace.
  2. Run quick validation for structural checks.
  3. Review validator warnings, precision-pass results, and coverage gaps with judgment before completion.

Output format

Return:

  1. Summary
  2. Changes Made
  3. Validation Results
  4. Open Gaps

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Writer AI skill do?

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to "create a skill", "write a skill", "synthesize sources into a skill", "improve a skill from positive/negative examples", "update a skill", or "maintain skill docs and registration". Handles source capture, precision passes, authoring, registration, and validation.

Why use Skill Writer on TypingMind?

Because you install it once and use it with any model. Skill Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/skills/tree/main/skills/skill-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Writer?

As many as you like. As long as a model supports skills, you can use Skill Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Writer AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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