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agently-triggerflow

Use when the user needs workflow orchestration such as branching, concurrency, approvals, waiting and resume, runtime stream, restart-safe execution, mixed sync/async function or module orchestration, event-driven fan-out, process-clarity refactors that make stages explicit, performance-oriented refactors that collapse split requests, or workflow definitions and chunk-level runtime metadata that must stay visible for debugging and visualization. The user does not need to say TriggerFlow explicitly.

54

Quality

60%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/agently-triggerflow/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%

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

This skill reads more like an internal framework specification or contributor guide than a concise instructional skill for Claude. While it contains valuable concrete API patterns and anti-patterns, the sheer volume of dense policy bullets—especially around snapshot stores, lease metadata, compaction, and fingerprint validation—overwhelms the actionable content. The document would benefit greatly from aggressive pruning and splitting detailed topics into the referenced files.

Suggestions

Reduce the main SKILL.md to core patterns (API shape, 3-5 most common workflows, key anti-patterns) and move detailed topics like durable recovery semantics, compaction policies, and service packaging into the referenced files (references/overview.md, etc.).

Add 1-2 complete end-to-end workflow examples (e.g., a resumable approval flow) with numbered steps and validation checkpoints, rather than listing rules as disconnected bullets.

Remove or condense implementation-level details like snapshot fingerprint validation, lease metadata, and compaction anchors that read as framework internals rather than user-facing guidance.

Convert the flat bullet-point structure into clearly headed sections with progressive complexity (Quick Start → Common Patterns → Advanced Topics → Anti-Patterns) to improve scannability.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~250+ lines of dense rules, many of which read like internal framework specification notes rather than actionable guidance for Claude. Extensive bullet points about snapshot stores, lease metadata, compaction policies, and fingerprint validation are implementation details that bloat the context window without proportional instructional value.

1 / 3

Actionability

The Python API Shape section provides concrete, executable code snippets and clear do/don't patterns for imports and method calls. However, much of the document is abstract policy guidance ('treat TriggerFlow as Agently's first-class orchestration substrate') rather than step-by-step executable instructions, and many bullet points describe concepts rather than showing how to implement them.

2 / 3

Workflow Clarity

The skill covers many workflow scenarios (pause/resume, fan-out, DAG compilation, service packaging) but presents them as a flat list of rules rather than clearly sequenced workflows with validation checkpoints. There is no explicit step-by-step process for common operations like 'create a resumable approval flow' with validation gates; the guidance for destructive operations like snapshot save/load lacks explicit verification steps.

2 / 3

Progressive Disclosure

The 'Read Next' section references four files (references/overview.md, runtime-intervention.md, stream-bridge.md, devtools-graph.md) which is good structure, but no bundle files were provided to verify these exist. The main body itself is a monolithic wall of bullet points that could benefit from splitting detailed topics (durable recovery, service packaging, dynamic task boundary) into referenced files rather than inlining everything.

2 / 3

Total

7

/

12

Passed

Description

85%

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

The description is thorough and well-structured with an explicit 'Use when' clause and a comprehensive list of specific capabilities, making it strong on completeness and distinctiveness. However, it leans heavily on technical jargon that users may not naturally use when requesting help, which weakens trigger term quality. The note that 'The user does not need to say TriggerFlow explicitly' is a helpful clarification but doesn't compensate for the lack of more common, user-facing vocabulary.

Suggestions

Add natural user-facing trigger terms like 'pipeline', 'multi-step process', 'task automation', 'sequential tasks', or 'parallel processing' that users are more likely to say.

Include a brief 'what it does' summary sentence before the 'Use when' clause (e.g., 'Implements and refactors workflow orchestration systems using TriggerFlow') to improve scannability when Claude is selecting among many skills.

DimensionReasoningScore

Specificity

The description lists many specific concrete actions: branching, concurrency, approvals, waiting and resume, runtime stream, restart-safe execution, mixed sync/async orchestration, event-driven fan-out, process-clarity refactors, performance-oriented refactors, and workflow definitions with chunk-level runtime metadata.

3 / 3

Completeness

The description explicitly answers both 'what' (workflow orchestration with specific capabilities listed) and 'when' (opens with 'Use when the user needs...' followed by detailed trigger scenarios). The 'Use when' clause is prominent and comprehensive.

3 / 3

Trigger Term Quality

It includes some relevant keywords like 'workflow orchestration', 'branching', 'concurrency', 'approvals', 'async', but many terms are highly technical jargon (e.g., 'chunk-level runtime metadata', 'event-driven fan-out', 'restart-safe execution') that users are unlikely to naturally say. Common user-facing terms like 'pipeline', 'task queue', 'step-by-step process', or 'automation' are missing.

2 / 3

Distinctiveness Conflict Risk

The description carves out a very specific niche around workflow orchestration with distinct concepts like restart-safe execution, approval flows, fan-out patterns, and chunk-level runtime metadata. It is unlikely to conflict with general coding or document skills.

3 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
AgentEra/Agently-Skills
Reviewed

Table of Contents

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