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fireflies-deploy-integration

Deploy Fireflies.ai webhook receivers and GraphQL clients to Vercel, Docker, and Cloud Run. Use when deploying Fireflies.ai-powered applications to production, configuring platform-specific secrets, or hosting webhook endpoints. Trigger with phrases like "deploy fireflies", "fireflies Vercel", "fireflies production deploy", "fireflies Cloud Run", "fireflies Docker".

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable, lean, code-first skill that gives copy-paste-ready deploy recipes for three platforms. Its weak spots are workflow validation (Vercel/Cloud Run lack explicit post-deploy verification) and progressive disclosure (all platform guides are crammed into one file rather than split into referenced files).

Suggestions

Add an explicit post-deploy verification step to the Vercel and Cloud Run workflows (e.g. curl the /api/health endpoint) so every platform has a validate→fix feedback loop, lifting workflow clarity.

Split the per-platform deployment sections (Vercel, Docker, Cloud Run) into separate reference files (e.g. references/vercel.md, references/docker.md, references/cloud-run.md) and keep SKILL.md as an overview that links to them one level deep.

Remove the duplicated webhook-registration guidance — keep it only in the Post-Deploy section (or only the Step 3 comment) to tighten conciseness.

DimensionReasoningScore

Conciseness

The body is code-first and lean — it does not explain what Fireflies, Docker, or GraphQL are, and every section is a compact code block or table. Minor duplication (webhook registration appears in the Step 3 comment and again in the Post-Deploy section) keeps it just at the lean/efficient bar rather than padded.

3 / 3

Actionability

Provides fully executable, copy-paste-ready artifacts for each platform: a TypeScript GraphQL client, a webhook route with HMAC verification, bash deploy scripts, a Dockerfile, docker-compose, gcloud commands, and a health endpoint — matching the score-3 anchor for executable code/commands.

3 / 3

Workflow Clarity

Steps 1–6 are clearly sequenced, but validation checkpoints are inconsistent: the Docker flow verifies via curl to /api/health while the Vercel and Cloud Run flows deploy without an explicit post-deploy verification step. This matches the score-2 anchor of steps present but checkpoints missing or implicit, and it is not 3 because the deploy workflows lack explicit validate→fix→retry feedback loops.

2 / 3

Progressive Disclosure

The file is well-organized with clear section headers, but all three platform deployment guides plus the client and webhook code live inline in a single ~210-line SKILL.md with no bundle files. Platform-specific guides that could be split into separate references are kept inline, matching the score-2 anchor of content that should be separate being inline.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that concretely states capabilities, targets, and explicit use-when guidance with natural trigger phrases. It is distinct and unlikely to be invoked for the wrong skill.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Deploy Fireflies.ai webhook receivers and GraphQL clients to Vercel, Docker, and Cloud Run' — naming both the artifacts and the target platforms, matching the score-3 anchor for multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both what (deploy webhook receivers and GraphQL clients to Vercel/Docker/Cloud Run) and when ('Use when deploying Fireflies.ai-powered applications to production, configuring platform-specific secrets, or hosting webhook endpoints'), with an explicit 'Use when' clause.

3 / 3

Trigger Term Quality

Provides natural trigger phrases a user would actually say — 'deploy fireflies', 'fireflies Vercel', 'fireflies production deploy', 'fireflies Cloud Run', 'fireflies Docker' — giving good coverage rather than just technical jargon.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (Fireflies.ai deployment with platform-specific triggers) and the triggers are product+platform specific, making conflicts with other skills unlikely.

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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