summarization
Use when condensing long or multi-agent outputs into an accurate, evidence-preserving summary.
Skill by seshxn
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/seshxn-summarization
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/summarization
What's inside
- Skill name
summarization- Description
- Use when condensing long or multi-agent outputs into an accurate, evidence-preserving summary.
- License
- unknown
- Instructions
- 44 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- anti-patterns.md
- examples.md
- tests.md
- verification.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
More from seshxn/ai-swarm
- 0.404score
api-contract-and-handoff-design
seshxn
Use when designing public APIs, module boundaries, or agent-to-agent handoff contracts.
SkillDFreshness: DClaude Code +9 - 0.404score
planning
seshxn
Use when converting an ambiguous or multi-step request into a sequenced, verifiable plan.
SkillDFreshness: DClaude Code +9 - 0.404score
swarm-code-review
seshxn
Use when reviewing code through multiple specialist agents and aggregating findings with evidence.
SkillDFreshness: DClaude Code +9 - 0.404score
code-review
seshxn
Use when reviewing code changes for correctness, maintainability, risk, and missing verification.
SkillDFreshness: DClaude Code +9 - 0.404score
context-engineering-for-swarms
seshxn
Use when packing, routing, or reducing context for multi-agent workflows.
SkillDFreshness: DClaude Code +9 - 0.404score
debugging
seshxn
Use when a test, build, tool call, or runtime behavior fails and the root cause is not known.
SkillDFreshness: DClaude Code +9 - 0.404score
idea-to-swarm-spec
seshxn
Use when turning a rough idea into an approved swarm architecture spec before implementation.
SkillDFreshness: DClaude Code +9 - 0.404score
subagent-orchestration
seshxn
Use when coordinating multiple agents or subagents across parallel, hierarchical, loop, or swarm topologies.
SkillDFreshness: DClaude Code +9 - 0.404score
systematic-swarm-debugging
seshxn
Use when a multi-agent workflow fails or produces unexpected, conflicting, missing, or unverifiable output.
SkillDFreshness: DClaude Code +9 - 0.404score
research
seshxn
Use when a fact may be volatile, external documentation matters, or source attribution is required.
SkillDFreshness: DClaude Code +9 - 0.402score
swarm-skill-router
seshxn
Use before assigning agent work to select required skills by lifecycle phase, topology, agent role, artifact type, and risk.
SkillDFreshness: DClaude Code +9 - 0.399score
verification-before-swarm-completion
seshxn
Use before claiming a swarm, pattern, or multi-agent workflow is complete.
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 16, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/seshxn/ai-swarm
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from seshxn
- 0.404score
planning
seshxn
Use when converting an ambiguous or multi-step request into a sequenced, verifiable plan.
SkillDFreshness: DClaude Code +9 - 0.404score
swarm-code-review
seshxn
Use when reviewing code through multiple specialist agents and aggregating findings with evidence.
SkillDFreshness: DClaude Code +9 - 0.404score
code-review
seshxn
Use when reviewing code changes for correctness, maintainability, risk, and missing verification.
SkillDFreshness: DClaude Code +9 - 0.404score
context-engineering-for-swarms
seshxn
Use when packing, routing, or reducing context for multi-agent workflows.
SkillDFreshness: DClaude Code +9 - 0.404score
debugging
seshxn
Use when a test, build, tool call, or runtime behavior fails and the root cause is not known.
SkillDFreshness: DClaude Code +9 - 0.404score
api-contract-and-handoff-design
seshxn
Use when designing public APIs, module boundaries, or agent-to-agent handoff contracts.
SkillDFreshness: DClaude Code +9
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
summarization skill. Agent Mart. https://agentmart.dev/skills/seshxn-summarization (last updated 2026-10-24)