hm-l3-synthesis
Compress research findings into actionable artifacts with tiered reduction.
Skill by shynlee04
Chalk Labs
Need help deploying hm-l3-synthesis?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/shynlee04-hm-l3-synthesis
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: backend, data, research
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
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/hm-l3-synthesis
Tools it pre-approves 6
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWriteEditBashGlobGrep
What's inside
- Skill name
hm-l3-synthesis- Description
- Compress research findings into actionable artifacts with tiered reduction. Use when packing codebases, extracting interfaces, or producing validated reports. Stage 3 of the hm-research-chain pipeline. Consumes findings from hm-detective and evidence from hm-deep-research. Uses cached API signatures from hm-tech-stack-ingest for validation. NOT for raw data collection or unfiltered dumps.
- License
- MIT
- Allowed tools
- Read, Write, Edit, Bash, Glob, Grep
- Metadata
- role: compression · layer: 2 · pattern: P2
- Instructions
- 486 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves any shell command
Files (16)
- SKILL.md
- .gitkeep · evals/
- evals.json · evals/
- .gitkeep · metrics/
- rich-gate-scorecard.md · metrics/
- artifact-export.md · references/
- compression-tiers.md · references/
- corpus-gate.md · references/
- cross-dep-analysis.md · references/
- interface-extraction.md · references/
- pattern-classifier.md · references/
- validated-playbooks.md · references/
- .gitkeep · scripts/
- validate-rich-package.sh · scripts/
- .gitkeep · templates/
- contradiction-consensus.md · templates/
SKILL.md (first lines)
## Overview
Compress research findings into actionable artifacts with tiered reduction. Use when packing codebases, extracting interfaces, producing validated reports, or classifying patterns. Produces compressed outputs at three reduction tiers with cross-dependency analysis.
## Quick Jump
| Task | Section | Detail |
|------|---------|--------|
| "Compress this repo" | Compression Tiers | [Three Compression Tiers](#three-compression-tiers) |
| "What depends on what?" | Cross-Dep Analysis | [references/cross-dep-analysis.md](references/cross-dep-analysis.md) |
| "Extract the API surface" | Interface Extraction | [references/interface-extraction.md](references/interface-extraction.md) |
| "What patterns does this use?" | Pattern Classification | [references/pattern-classifier.md](references/pattern-classifier.md) |
| "Is my corpus big enough?" | Corpus Gate | [references/corpus-gate.md](references/corpus-gate.md) |
| "Export findings that last" | Artifact Export | [references/artifact-export.md](references/artifact-export.md) |
| "Sources disagree" | Contradiction + Consensus | [templates/contradiction-consensus.md](templates/contradiction-consensus.md) |
<execution_context>
For reading modes during analysis: load skill "hm-detective"
Reading modes: SKIM for orientation, SCAN for targeted extraction, DEEP for interface analysis
For cached tech stack assets (offline API signatures for validation): load skill "hm-tech-stack-ingest"
Use cached API signatures to validate against REAL code before generating artifacts or quality gates.
For research findings to synthesize: load skill "hm-deep-research"
hm-synthesis consumes structured research outputs with citations and evidence levels.
For chain orchestration: load skill "hm-research-chain"
hm-synthesis is Stage 3 of the canonical research chain.
</execution_context>
---
## Three Compression Tiers
Every packing operation selects one tier. Default: Focused.
### Evidence-Backed Synthesis Gate
Before producing a final report, plan, or reusable artifact:
1. Group findings into themes only after each theme has cited evidence.
2. Fill `templates/contradiction-consensus.md` for conflicts, weak consensus, or unresolved claims.
3. Add a methodology/limitations section when sources are partial, stale, vendor-biased, or inaccessible.
4. Separate recommendations from facts; recommendations need rationale and alternatives.
5. Export provenance: source list, reviewed materials, unresolved gaps, and continuation path.
**BLOCKED rule:** If a high-impact contradiction remains unresolved, the artifact may recommend investigation, but it must not claim a settled answer.
| Tier | Reduction | Content | When |
|------|-----------|---------|------|
| **Snapshot** | 0% | Full source, every line, every comment | Final audit, security review, legal compliance |
| **Focused** | ~50% | Tree-sitter signatures + key implementations (public exports, error paths, config) | Dependency analysis, code review prep, onboarding |
| **Signature** | ~70% | Types, interfaces, exports, module boundaries only | Architecture planning, API contract extraction, budget-constrained context |
### Decision Table
```
What do you need?
|
+-- "Every line matters" (audit, security, legal)
| -> SNAPSHOT: repomix_pack_codebase(compress=false)
|
+-- "How does this work?" (review, onboarding, deps)
| -> FOCUSED: repomix_pack_codebase(compress=true) + grep for key implementations
|
+-- "What's the shape?" (architecture, contracts, planning)
| -> SIGNATURE: extract types/interfaces only (see interface-extraction.md)
|
+-- "I'm not sure yet"
| -> FOCUSED: safest default, readable at half the cost
```
### Tier Comparison
| Property | Snapshot | Focused | Signature |
|----------|----------|---------|-----------|
| Full source | Yes | Signatures + selective body | Types only |
| Comments | Yes | Stripped | Stripped |
| Private members | Yes | No | No |
| Error handling paths | Yes | Yes | Signatures only |
| Import graph | Reconstruct | Reconstruct | Explicit |
| Avg tokens (1000 LOC) | ~8000 | ~4000 | ~2400 |
See [references/compression-tiers.md](references/compression-tiers.md) for per-language settings, repomix configuration, and worked examples.
---
## Cross-Dependency Analysis Protocol
5-step protocol. Run sequentially. No shortcuts.
```
MAP → CLASSIFY → DETECT → RESOLVE → VALIDATE
```
### MAP — List Every Dependency
```bash
grep -rn "import.*from\|require(" src/ --include="*.ts" > /tmp/deps-raw.txt
grep -rn "emit\|on(" src/ --include="*.ts" >> /tmp/deps-raw.txt
```
Output: raw import/require/event list with file:line pairs.
### CLASSIFY — Tag Each Dependency
| Category | Pattern | Example |
|----------|---------|---------|
| **internal** | Same package, `./` or `../` imports | `import { foo } from "./helpers"` |
| **external** | node_modules, npm packages | `import { z } from "zod"` |
| **peer** | Required but not bundled | e.g., `react` for a React plugin, `express` for middleware |
| **dev** | Build/test only | `vitest`, `typescript` |
### DETECT — Find Problems
| Problem | Detection |
|---------|-----------|
| Version conflict | Same package at different versions in dependency tree |
| Circular dependency | File A imports B, B imports A (direct or transitive) |From shynlee04/hivemind-plugin, MIT.
More from shynlee04/hivemind-plugin
- 0.578score
hf-l2-skill-synthesis
shynlee04
Use when synthesizing skills from GitHub repos, classifying skill patterns, building template libraries, generating eval frameworks, or creating eval-driven…
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l2-coordinating-loop
shynlee04
Coordinate multi-agent dispatch with validation gates and handoff protocols.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-integration-contracts
shynlee04
Formal bidirectional contract authority between skills and agents.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-agent-composition
shynlee04
Teaches agents how to compose specialist agents from user intent using XML markup grammar, step protocols, and structured return formats.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-detective
shynlee04
Investigate codebases with SCAN, READ, and DEEP reading modes.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-command-parser
shynlee04
This skill should be used only when parsing $ARGUMENT propositional commands from OpenCode command strings.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-skill-router
shynlee04
Maps meta-builder task domains to hf-* skill loading bundles with priority ordering.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
gate-l3-lifecycle-integration
shynlee04
Internal quality gate that evaluates whether Hivemind harness implementations correctly participate in the runtime lifecycle — covering 9-surface mutation…
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
gate-l3-spec-compliance
shynlee04
Spec compliance gate performing bidirectional traceability, gap detection (4 types), EARS acceptance criteria validation, and anti-pattern scanning.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-delegation-gates
shynlee04
Enforce pre-delegation authorization gates before agent dispatch.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hm-l2-requirements-analysis
shynlee04
Formal requirements diagnosis methodology for detecting gaps, contradictions, missing constraints, and unvalidated assumptions in existing requirements.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
hf-l2-context-absorb
shynlee04
Multi-wave swarm protocol for absorbing dense context (links, text, files, stories, events, actors) into persistent session-context-prompt.md.
SkillCFreshness: C★ 51Claude Code +9
Signals
- Stars
- 51
- Forks
- 16
- Open issues
- 21
- Last commit (this folder)
- May 7, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/shynlee04/hivemind-plugin
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from shynlee04
- 0.578score
hm-l3-detective
shynlee04
Investigate codebases with SCAN, READ, and DEEP reading modes.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l3-integration-contracts
shynlee04
Formal bidirectional contract authority between skills and agents.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-skill-synthesis
shynlee04
Use when synthesizing skills from GitHub repos, classifying skill patterns, building template libraries, generating eval frameworks, or creating eval-driven…
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hm-l2-coordinating-loop
shynlee04
Coordinate multi-agent dispatch with validation gates and handoff protocols.
SkillCFreshness: C★ 51Claude Code +9 - 0.578score
hf-l2-agent-composition
shynlee04
Teaches agents how to compose specialist agents from user intent using XML markup grammar, step protocols, and structured return formats.
SkillCFreshness: C★ 51Claude Code +9 - 0.574score
gate-l3-lifecycle-integration
shynlee04
Internal quality gate that evaluates whether Hivemind harness implementations correctly participate in the runtime lifecycle — covering 9-surface mutation…
SkillCFreshness: C★ 51Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
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.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get hm-l3-synthesis running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
hm-l3-synthesis skill. Agent Mart. https://agentmart.dev/skills/shynlee04-hm-l3-synthesis (last updated 2026-10-24)