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/skill-writer

@5a64b36 official
by Sentrygetsentry/skills1k stars
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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.

Use this Skill: https://skilld.dev/gh/getsentry/skills/skill-writer

This session only. Nothing lands on disk.

referencesiteration-evidence.md

≈669 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Iteration Evidence

Use this guide when improving a skill from positive examples, negative examples, review feedback, validation results, or observed agent behavior.

Storage Layout

Store persistent improvement evidence under:

references/evidence/
├── findings-log.md
├── working-set.md
└── holdout-set.md

Use this directory only when examples should outlive the current task. For a one-off small fix, summarize the examples in SOURCES.md instead.

File Roles

references/evidence/findings-log.md records interpreted findings:

  • repeated failure patterns
  • preserved success patterns
  • suspected root causes
  • instruction changes made in response
  • unresolved risks

references/evidence/working-set.md stores examples used while editing the skill.

references/evidence/holdout-set.md stores examples reserved for validation after edits. Do not tune directly against holdout examples unless the user explicitly moves them into the working set.

Example Record Schema

Use one record per example:

## EX-001: Short label

- Label: positive | negative
- Kind: true-positive | false-positive | false-negative | fix | regression | edge-case
- Origin: human-verified | mixed | synthetic
- Source: issue/PR/commit/log/user note/local validation pointer
- Status: working | holdout | resolved | deferred
- Expected behavior: concise statement
- Observed behavior: concise statement
- Skill delta: instruction, reference, description, or validation change
- Anonymization: what was removed or generalized

### Content

Summarized or redacted example content.

Keep records concise. Preserve enough detail to reproduce the behavior, but redact secrets, customer data, private URLs, and unnecessary user content.

Positive And Negative Findings

Positive findings are not just success stories. Use them to protect behaviors that must not regress.

Negative findings should identify the smallest failing decision:

  • wrong trigger behavior
  • missing source type
  • skipped reference file
  • overloaded or hidden instruction
  • weak output contract
  • missing validation step
  • unsafe or non-portable path assumption

Each negative finding should map to a concrete skill delta or an explicit deferred reason.

Promotion Rules

Promote evidence into the skill artifacts only when it changes future behavior:

  • Put universal behavioral rules in SKILL.md.
  • Put domain-specific examples in a focused reference.
  • Put source provenance and decisions in SOURCES.md.
  • Keep raw or semi-raw examples in references/evidence/.

Do not turn references/evidence/ into a changelog. The changelog belongs in SOURCES.md.

Source: SKILL.md on GitHub

No alerts17d5 checks · Risk SAFE
  • Gen Agent Trust Hub17d

    The skill is a comprehensive meta-router and workflow guide for creating, updating, and evaluating agent skills. It includes a helper python script for structural validation and standard markdown templates, presenting no security risks.

  • Socket17d

    No alerts

  • Snyk17d

    Risk: LOW · No issues

  • Runlayer6mo

    5/19 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 5a64b36. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 months ago
  • Documentation
  • skill-authoring
  • workflow
  • specification
  • synthesis
  • iteration
  • validation
  • prompt-engineering
  • agent-skills

README badge

README badge for getsentry/skills/skill-writer

Guides AI agents through a structured workflow for creating, updating, and iterating on agent skills—instruction files that extend AI coding capabilities. Includes reference files for synthesis, authoring, validation, and skill registration following the Agent Skills specification.

Generated from the current SKILL.md.

Does this skill help me write skills for Claude, or does it help Claude write skills?
This skill is loaded into Claude or another AI coding agent. It provides the agent with a standardized workflow, reference files, and decision trees for creating, updating, and iterating on skills that other agents can use.
What's the difference between create, update, synthesize, and iterate modes?
Create starts from scratch. Update modifies an existing skill. Synthesize gathers and structures source material before authoring. Iterate improves a skill based on positive, negative, or fix examples.
Do I need to read all the reference files?
No. The skill uses a step-by-step workflow that loads only the specific reference files needed for your operation. Start with mode-selection.md to determine your path, then load only the files it directs you to.
Can I use this skill to write skills for other AI providers, or only Claude?
The skill supports both provider-agnostic skills and Claude-specific mechanics. Provider-specific references are optional; the core workflow and execution shapes are portable across agents.
What does a completed skill output look like?
A skill consists of a SKILL.md file (the runtime router), optional focused reference files under references/, a SPEC.md for the maintenance contract, and optional scripts or templates. The skill-writer guides you through all artifact types and decides what belongs in each.

Generated from the current SKILL.md. These answers refresh after source changes.